Next Article in Journal
A Comparison of Particulate Exposure Levels during Taxi, Bus, and Metro Commuting among Four Chinese Megacities
Next Article in Special Issue
Digital-Free Tourism Holiday as a New Approach for Tourism Well-Being: Tourists’ Attributional Approach
Previous Article in Journal
New Perspectives in Health: Gut Microbiota
Previous Article in Special Issue
The Future of Medical Tourism for Individuals’ Health and Well-Being: A Case Study of the Relationship Improvement between the UAE (United Arab Emirates) and South Korea
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Toward Improving Working Conditions to Enhance Professionalism of Convention Workers: Focusing on the Difference between Job Satisfaction and Job Performance According to Professionalism Perception

1
Business Administration Major, Honam University, Gwangju 62399, Korea
2
Department of Urban Policy Research, Goyang Research Institute, Goyang 10393, Korea
3
MECnWIP, Daejeon 35316, Korea
4
Global MICE Major, Dongduk Women’s University, Seoul 02748, Korea
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2022, 19(10), 5829; https://doi.org/10.3390/ijerph19105829
Submission received: 23 March 2022 / Revised: 5 May 2022 / Accepted: 7 May 2022 / Published: 10 May 2022

Abstract

:
In recent years, the importance of professionalism of convention workers has been rapidly emerging. Therefore, the purpose of this study is to establish a strategy for strengthening the professionalism of convention workers. For this, the study investigates if there are any differences in job satisfaction and job performance based on the segmented groups of professionalism perception of convention workers. The results of factor analysis showed six underlying dimensions of professionalism perception of convention workers. Cluster analysis showed that there were different segmented groups of professionalism perception: high level (cluster 1), low level (cluster 2), moderate level (cluster 3). Lastly, MANOVA showed that there were differences in job satisfaction and job performance among the segmented groups. More theoretical and practical implications are discussed in the conclusion.

1. Introduction

The convention industry is a high value-added business since it improves the global image of a nation and creates additional value to various related industries. It is also considered as a major industry that creates economic and non-economic value [1,2]. As a global trend, the industry is strategically developed as a new growth engine industry along with the 4th industries, and the government is making an effort to establish institutional framework that may promote international competitiveness and increase economic impact through integration of MICE (Meetings, Incentives, Conventions, Exhibitions) infrastructure and convergence with other industries [3]. The regional MICE policies that should be prioritized are the expansion of infrastructures, such as convention and exhibition center and MICE facilities, and administrational support like establishing MICE organizations that attracts and aids MICE events and marketing the city as a MICE destination [4,5]. In Korea, the convention industry was chosen as the high added-value business among new growth engine industries, and the country is consolidating its position as one of the major convention hosting countries.
For the growth of the convention industry, expansion of hardware holds its importance, but software expansion is the one that should be weighed more. Interest in software ultimately promotes the competitiveness of the convention industry that is connected to voluntary participation of convention workers, which increases the possibility of management and attraction of international conventions [6]. This is because the convention companies are reliant upon human resources due to their nature as service business, and their success heavily depends on human resources and software. In other words, professionalism and competence of workers is the key to success and development of the convention industry.
Since the convention industry is a human-managed business and also a human-centered business, nurturing human resources who have received professional education is required, so that conventions can be systematically hosted and operated [7]. Compared to other hospitality industries, human resources are valued more, because every task is practically managed by workers [8]. For the development of the industry, workers should be educated as experts of the professional convention industry, which plays a central role in hosting and attracting conventions [9]. Convention industry workers may be called organizer, convention organizer, consultant, coordinator, convention host, convention designer, etc. [10]. They are experts that plan and provide a service related to convention hosting [11].
The workers undertake their job in areas of Convention, Exhibition, Incentive, and Meeting. Akgunduz, Kizilcalioglu, and Sanli, (2018) [12] define them as workers who plan and operate every activity related to convention and conference. From this, it may be inferred that there is an increase of perception that the convention workers should promote their professionalism, and the job itself has to be professionalized. From research related to job professionalism, the higher the professionalism is, the better the job satisfaction is and the deeper the workers are committed in their organization, which is likely to maximize the outcomes.
Professionalism is the attitude that encompasses dedication to the job, belief about the work, and the freedom of decision based on professional knowledge [13]. Therefore, offering a service without professionalism is limited to conveying a repeated and fragmented service. Hence, it is difficult to gratify the customer and job satisfaction, due to lack of pride and vocation as a convention worker [14]. Until now, in a knowledge-based society, a long-term and integrated nurturing plan that can create high value has been absent in Korea. Also, on account of limitations that educational institutes are facing, it is difficult to provide a reasonable and future-oriented education. In addition, the competitiveness of the industry has diminished due to the lack of education and training programs that enable a quick response to the rapidly changing social trends. Currently, efficient training of experts that may develop core competencies of the Korean convention industry is somehow hindered [15]. Also, compared to foreign countries, the research about effects of professionalism upon job satisfaction and organizational commitment is insufficient.
The originality of this study can be described as follows. Previous studies have used variables related to working conditions such as welfare and annual salary. However, in this study, the actual competency, in particular, was focused on the recognition of the professionalism required for the PCO (Professional Convention Organizer). The purpose of this study is to investigate the effects on job satisfaction and job performance according to the perception of professionalism and the analytical contents resulting from the differences. External issues such as working conditions are not easily resolved in the MICE industry. Therefore, we considered how to achieve performance through internal change and improvement targeting PCO with high turnover intention and high dissatisfaction.
The purpose of this study is to identify the professionalism perception of convention workers, and the difference between job satisfaction and job performance depending on the perception. Based on the results, we aim to conceptualize the professionalization perception of convention workers and put forward suggestions regarding content and direction for the ideal convention expert of today, and to present practical and academic implications related to human resource development of the convention industry.

2. Literature Review

2.1. Professionalism Perception of Convention Workers

Convention industry workers do their job in the areas of meeting, incentive, convention, and exhibition. There are various bodies that are encompassed in the industry. CVB (Convention and Visitors Bureau) hosts and manages conventions. Academic societies, institutes, governments, associations, organizations are the main bodies that host conventions and create demand. PCO and brokerages do the work for them. There are also owners of convention centers, and support companies. Convention workers may be defined as people who provide labor and earn a wage from a convention business [16]. The main job of a convention worker includes preliminary meetings, field activity, follow-up meetings, agenda planning, venue selection, budget establishment, and negotiation. It is classified into association convention planning and company convention planning in which the worker takes full responsibility [17]. It may also be called convention staff, convention manager, and convention executive. The associated role may be categorized as communication experts, operators and organizers, information experts, and management consultants [18]. Related occupations are PCO, PEO, workers of convention centers, event organizers, CVB, etc. [19]. Among various convention workers it can be said that the PCO play the most important role. The US Department of Labor and the Dictionary of Occupational Titles describes it as the job that organizes and plans every activity that realizes conventions and meetings [20]. There are opinions that in the convention industry, the human service provided by the workers is the first factor to be considered (i.e., more important than hardware). This is because the quality perception of consumers and integrated image management relies on the performance level of convention staff. Convention workers have diverse duties, and there are various abilities are required to be a convention project manager.
The lexical meaning of professionalism refers to professional traits, qualities, and the ability to outperform average people in specific areas, which may be acquired by systematic and long-term training [21]. The concept of professionalism was differently defined depending on scholars and the time period. Based on features and perspective about professionalism, it may be divided into three generations [22]. The first generation starts from the research which focused on problem-solving and information-processing abilities. It asserted that there are no differences between experts and non-experts, and experts refers to people who excel in general exploration and discovery, since they show superior performance in specific ability related to games. Holyoak (1991) [22] presented exceptional situations of the second-generation professionalism research and insisted the need for a third-generation research. The third-generation research defined experts as people solving specific problems, which refers to people who can meaningfully connect small units of information and knowledge. The second-generation studies conducted by Anderson (1982) [23], Rosenbloom and Newell (1987) [24], and Shiffrin and Schneider (1977) [25], revealed that experts may recognize and solve problems more precisely and faster compared to non-experts by utilizing exclusive knowledge. That is, the comparative study about the problem-solving ability of non-experts and experts dispatches professionalism into a unique area [22]. The components of professionals were divided into the structural side, organizational side, and attitudinal side and they were analyzed. In one of the widely used concepts, attitudes are classified into: utilization of organization, principle about self-regulation, autonomy, principle about public services, and vocation.
Professionalism perception is defined as “The perception about the exclusive authority, profession, and autonomy about the job, the pursuit of public interest, vocation, and the belief to self-control” [26] along with subconscious factors such as thoughts and opinions about the job of oneself as a professional. It defined professionalism as being qualified with an autonomous organizational system and professional knowledge earned through long-term training and taking responsibility [27]. Human resources is recognized as an important factor in the rapid growing Korean convention industry, but the professionalism of the workers and the index of that shows that social perception of it as experts is lacking. Therefore, it is time for studies related to human resources to expand their scope. Convention companies are making efforts to secure professionalism of workers through competency development, since they recognize the importance of the competency of PCO, because it determines the outcomes of companies achieved by successful hosting of conventions and secures competitiveness in the convention industry that is sensitive to fast changing market and has harsh competition [28]. Professionalism is categorized into different factors, depending on which part is emphasized [29]. Kang and Ritzhaupt (2015) [30], the early researchers of professionalism, said that three factors of systematic and professional knowledge, authority and privilege as a professional and social agreement, and social contributions of services provided by professionals should be considered. Since the components of professionalism are differently required depending on the periodical changes and characteristics of organizations, there are different academic opinions. Thus, based on preceding research, this study defines convention workers as people who plan, organize, operate, and evaluate every activity related to convention hosting. The professionalism perception of convention workers is divided into six subfactors: Vocational expertise, Work autonomy, Social contribution, Social status, Job ethics, and Work functionality, for verification. After subdividing the professionalism perception, its effects on Job satisfaction and Job performance may be analyzed.

2.2. Job Satisfaction

Job satisfaction is an important concept from a managerial viewpoint, and it is differently defined depending on the viewpoint of researchers. Gilmer (1996) [31], state that satisfaction or dissatisfaction is a result of personal factors related to the job and various attitudes regarding daily life. Loker (1976) [32] define it as a general attitude about the job and the emotional state that positively percepts the job experience.
Marhieu, Hofmann and Farr (1993) [33] define job satisfaction in three viewpoints. First, job satisfaction is a set of different attitudes toward job and job condition. Second, it may be decided by the comparison of expectations and actual experiences. Third, the satisfaction is decided by various factors such as wage, job, supervisors and coworkers, chances of promotion, etc. Heskett, Sasser and Schlesinger (1997) [34] considered that the increase of job satisfaction also naturally includes the loyalty of the workers, which naturally leads to improvement of the perceived quality of service provided to customers.
The increase of job satisfaction has positive effects in development of organizations, such as promoting mental health, work outcome, motivation, and quality of life. On the other hand, the decrease has negative effects like causing turnover intention, stress, etc. Also, it was discovered in preceding research [34] that the job satisfaction affects the quality of service. Based on the discovery, job satisfaction has to be gratified to realize an increase in outcomes.
Locker (1990) [35] identified the factors of job satisfaction as: wage, promotion, welfare, work condition, duty, supervisor, company, coworker, and managing method of the company. Poter and Steers (1983) [36] identified them as work condition factor, work content factor, and overall organization factor. Work condition factors are: participatory decision-making, the scale of working group, relation with coworkers, and type of supervision. Work content factors are: role conflict, working environment, ambiguity in role, and personal traits. Lastly, the overall organization factors are: wage, policy, procedure, and chances of promotion.
Among various factors that improve the outcome of the organizations when personal aims and values are gratified by organizational support are: high job satisfaction, organizational commitment, and active attitude towards organizational goals [37]. The degree of satisfaction is an important criterion for management and evaluation of organizations. In the worker’s point of view, important factors are: mental health, physical health, and value judgement [38]. In the organization’s point of view, workers that have positive attitude towards their job increase productivity by describing the organization positively and favorably and forming an amicable relation that decreases absence and turnover rate [39]. Therefore, it can be said that the higher the satisfaction is, the better the quality of service is. On this basis, there are claims that the managers can increase the quality of service by increasing the job satisfaction of their workers [40]. Kianto, Vanhala, and Heilmann (2016) [41] considered job satisfaction as a type of attitude, and defined it as the attitude of individuals toward their jobs. Mathieu, Fabi, Lacoursière, and Raymond (2016) [33] defined job satisfaction as the job of individuals or feelings and responses of individuals toward their jobs. In addition, it was defined as attitude of individuals toward factors related to their jobs such as wage, work, supervision, etc. [42]. Atmojo (2015) [43] said that job satisfaction means the emotional evaluation of the job that the worker holds. Bin (2015) [44] defined it as emotional and sentimental satisfaction acquired from evaluation of work condition and reputation.
This study defines job satisfaction as the emotional attitude of convention workers toward their convention work, and the positive emotion that is felt depending on the degree of gratification of job-related desires of the workers. Based on preceding studies, the job satisfaction of convention workers is composed of three factors: work-related factors (promotion and duty), boss and colleague related factors, and wage and welfare related factors.

2.3. Job Performance

Organizational outcome refers to productivity, quality, customer satisfaction, etc. Financial outcome includes gain by investment, return on asset, etc. Human resource management outcome is the results of attitude and behavior of workers, encompassing job satisfaction, turnover intention, organizational commitment, etc. [45,46].
Job Performance is defined by various studies. Lawler and Porter (1967) [36] defined it as results of activities that may be objectively measured, which contributes to the degree of achievement of organizations. Tett and Mayer (1993) [47] defined as the sound status of the work that an individual wants to realize within the organization and the degree of achievement of individuals.
In various studies related to job performance, most factors are correlated with job performance. Managers recognize that the productivity increases when workers are satisfied with their job and their morale is boosted, and the overall outcome of the organization increases as the achievement level of satisfied workers is higher, and this opinion is widely accepted [48].
This study defines the job performance of the organizers as the degree of achievement connected with individual jobs or achievement level of assigned tasks in which the results are self-recognized. Preceding studies show that various factors affect job performance. Managers thought that job satisfaction and high morale results in an increase of productivity. This is based on the assumption that the satisfied workers would work diligently and increase the outcomes of the organization, which was recognized as a universal proposition [49]. The measurement factors of job performance were analyzed under different criteria of researchers.
Organizational commitment was vastly researched in areas like sociology, industrial psychology, and behavioral science, and is considered to be one of the important indicators that show the outcomes of the organization [50]. In particular, much follow-up research has been conducted since it is more efficient than job satisfaction when predicting turnover intentions, acts as a useful indicator that shows the organizational effectiveness, and shows the relation between behavior and attitude of workers due to its mid and long-term stability [51]. Pelit, Dinçer, and Kılıç (2015) [52] defined it as psychological traits related to attitudes and behaviors of workers, such as the mindset to make efforts for the organization, loyalty, strong desire to remain in the organization, obsession, and identification of workers with organization. Ayazlar and Güzel (2014) [53] defined it as identification with organization and the relative intensity of commitment.
In addition, job performance was measured by factors of job satisfaction, customer service, organizational commitment, and achievement of goals. This study defined job performance as the degree of achievement related to convention work in which should be a self-recognized result. Based on preceding research, the job performance of convention workers is divided into 5 items: driving force in work, level of completion, level of achievement, timeliness, and sense of responsibility. The difference in job performance depending on the subdivision of professionalism perception of convention workers will be verified.

3. Methods

3.1. Research Questions

The purpose of this study is to identify job satisfaction and job performance based on the type of professionalism perception model of convention industry workers. In order to achieve such a purpose, the study was designed to answer the following research questions:
Q1.
Is the job satisfaction of convention workers different among groups of professionalism perception?
Q2.
Is the job performance of convention workers different among groups of professionalism perception?
Q3.
Are the demographics of convention workers different among groups of professionalism perception?

3.2. Generation of Questionnaire Items

The questionnaire items are organized based on the preceding research introduced above. In total, 24 of them are about professionalism perception of convention industry workers, 12 are about job satisfaction, and 5 are about job performance. The 5-point Likert scale is utilized for answers. Items about professionalism perception used preceding research [54,55] as reference. Items of preceding research about job satisfaction [56] and job performance [57] were modified and supplemented in a way that matches the purpose of this research and then inserted in the questionnaire. Lastly, demographic items that identify information of respondents such as gender, age, monthly income, job, and area of residence were added in order to understand the characteristics of the samples. The questionnaire items on professionalism perceptions identified 7 factors (vocational expertise, work autonomy, social contribution, social status, job ethics, work functionality) from Lee, S.S., Park, E.M. (2014); Lim, D.J., Ha, H.S., and Kim, H.Y. (2017) [55,56]. The job satisfaction questionnaire identified three factors (salary satisfaction, work contents satisfaction, relationship with coworkers’ satisfaction) from Lee, M.H., Chang, H.J. (2015) [57]. The job performance questionnaire identified one factor from Sohn, S.A. (2017) [58].

3.3. Data Collection and Analysis

The sample analyzed in the research has a size of 242 and was collected among convention industry workers. Researchers explained the purpose to the subjects, and upon their agreement it was conducted in a self-administered method. The research materials were collected from 4th October 2018 to 5th December 2018 both online and offline. Collected materials were analyzed with Statistical Package for the Social Sciences (SPSS) 21 Program. The collected data were analyzed by conducting frequency analysis to understand the characteristics of the data. To evaluate the validity and reliability, principal factor analysis with varimax rotation was conducted on all statements. The hierarchical cluster analysis using the Ward method and the K-means cluster analysis were combined to subdivide the group according to the job characteristics of the convention project manager. Discriminant analysis was then applied to detect whether any significant differences existed among the three groups. Cross-tabulations analysis was performed to verify the difference in demographic profile according to the job characteristics of the convention project manager. Finally, multivariate analysis of variance (MANOVA) and analysis of variance (ANOVA) were conducted to verify the difference in core competencies for each group according to the recognition of job characteristics of convention workers.

4. Results

4.1. Profile of Respondents

Demographic identification results show that a slight predominance of males, since it is shown that 54.2% of the respondents were male and 45.8% were female. In total, 32.0% of them were in their 30s, which was the most common age group, followed by the order of 20s, 40s, and 50s. Most of them were university graduates (64.5%) or graduate school graduates (17.4%), so it can be said that they have a high level of education. A majority of them earned 2 million KRW (Korean Won), ~less than 3 million KRW (37.6%) or less than 2 million KRW (33.1%) as monthly income. Lastly, working years is aligned in order of 2~less than 4 years (26%), 4~less than 6 years (21.5%), less than 2 years (19.4%), over 10 years (10.3%), and 8~less than 10 years (9.1%). For their position, a large number of respondents were deputy (26%), manager (23.1%), and director or higher (13.6%) (Table 1).

4.2. Verification of Reliability and Validity of Fprofessionalism Perception and Job Performance of Convention Industry Workers

In order to verify the reliability and validity of indexes used to measure the construct of professionalism conception of convention industry workers, exploratory factor analysis and reliability analysis were used (Table 2).
Exploratory factor analysis was initiated utilizing 24 items of professionalism perception. Under the Varimax rotation method, factors with an Eigen-value of 1 or higher were extracted. As a result, variables with a factor loading value of 0.4 or lower were excluded. Thus, among 20 variables, 6 factors were deduced, and they were named ‘Vocational expertise’, ‘Work autonomy’, ‘Social contribution’, ‘Social status’, ‘Job ethics’, and ‘Work functionality’. The total variance explanation power is 70.17%, and the results of KMO (Kaiser-Meyer-Olkin) measure of sampling adequacy appears as a value of 0.798, Bartlett’s test sphericity demonstrates a significance at a level of 0.000 (χ2 = 2592.661, df = 190). In order to examine the internal consistency, the Cronbach’s α results were reviewed, and all of them showed 0.6 or higher, which shows that it is reliable [59].
As a result of the verification of reliability and validity of job performance of convention industry workers (Table 3), 3 factors were deduced and were named ‘salary satisfaction’, ‘work contents satisfaction’, and ‘relationship with coworkers’ satisfaction’. The total variance explanation power was 73.44%, and the results of KMO measure of sampling adequacy generated a value of 0.806 and Bartlett’s test sphericity demonstrates a significance at a level of 0.000 (χ2 = 1114.210, df = 45). In order to examine the internal consistency, the Cronbach’s α were viewed and all of them showed 0.6 or higher, which proves its reliability.

4.3. Cluster Analysis Based on the Professionalism Perception of the Converntion Workers

In order to obtain a subdivided cluster for the professionalism perception of convention industry workers, a cluster analysis was initiated utilizing relevant variables (Table 4). To determine the optimal number of clusters, Ward’s hierarchical cluster analysis method was used simultaneously with the K-means non-hierarchical cluster analysis method. The 6 factors for professionalism perception of convention industry workers were hierarchically analyzed and categorized into 3 clusters by referring to fall range and rate that shows the variance of dendrogram and coefficient. Then it was designated into 3 clusters and analyzed by utilizing the K-Means method.
The results of MANOVA show that the different groups had significant differences in their awareness toward the professionalism (Table 5). Cluster 1 (n = 111) is the high-level professionalism perception group. Cluster 2 (n = 61) is the low-level professionalism perception group and Cluster 3 (n = 70) is the moderate-level professionalism perception group.
To approve the viability of the categorized clusters, a discriminant analysis was initiated (Table 6). In the analysis sample (n = 242) of Table 6, which is used to derive the discriminant function, 91.0% of the cases of Cluster 1, specifically 101 out of 111, were correctly allocated. In Cluster 2 93.4% of the cases, exactly 57 out of 61 cases, and in Cluster 3 was 69 out of 70, which is 98.6%, were correctly allocated. It can be said that it is highly precise since a hit ratio of 93.8% is shown among the 242 respondents.

4.4. Difference of Job Satisfaction and Job Performance by Cluster

The MANOVA results of job satisfaction of convention industry workers of different professionalism perception clusters is as follows (Table 7). Job satisfaction was classified into 3 factors: salary satisfaction, work contents satisfaction, and relationship with coworkers’ satisfaction. As a result, the Wilks’ lambda = 0.631 (F = 20.447, p < 0.001) shows that the job satisfaction factors were found to be significantly different among professionalism perception clusters. Salary satisfaction and Work contents satisfaction were generally higher in cluster with high professionalism perception. However, Relationship with coworkers’ satisfaction was the highest in the cluster with moderate professional perception. It can be interpreted from this that the satisfaction that comes from relationships with coworkers is related to the job satisfaction, even if the professional perception is not at a high level.
The MANOVA result of job performances of convention industry workers of different professionalism perception clusters is as follows (Table 8). As a result, F = 35.026, p < 0.001. The job performance factors were found to be significantly different among professionalism perception clusters. It can be confirmed that the higher the professionalism perception of convention industry workers is, the higher the job performance is.

4.5. Cross Tabulation of Professionalism Perception Segmentation and Demographic Characteristics

In order to initiate an in-depth analysis of 3 categorized demographic characteristics of different professionalism perceptions, a cross tabulation was conducted. Education and Position were utilized as variables to analyze characteristics of clusters, and there was a statistically significant characteristic of clusters in education. In general, university graduation plays a substantial part in the 3 clusters. However, there are differences in other education. Cluster 1 had the highest portion of postgraduates or above (21.6%) and Cluster 2 dominated in terms of university graduation. Cluster 3 had both 17.1% of college graduation and postgraduate or above, which is relatively higher compared to the others (Table 9).

5. Discussion and Implications

5.1. Discussion of Results

There are three implications of this study. First, there have been subdivisions in professional perception of convention workers and the difference by group was recognized. There are six factors regarding the professional perception that was established, namely: Vocational expertise, Work autonomy, Social contribution, Social status, Job ethics, and Work functionality. This supports the results of the study [26]. Through cluster analysis and discriminant analysis, three clusters (clusters with high level of professionalism perception, moderate level of perception, and low level of perception) were deduced and through verification tools, the difference in perceptions was observed. Second, the difference of job satisfaction and job performance depending on professionalism perception by clusters was verified.
The result shows that the cluster with a high level showed high salary satisfaction and had the highest work contents satisfaction. This somehow shows that the high level of perception is matched with appropriate wage level and satisfaction in daily life. In addition, they have the feeling that their job is valuable and are interested by their work, which is followed by sense of fulfillment. These results support the research results and claims of previous studies [37,49] presented above.
However, the high level of perception did not show a relationship with coworkers’ satisfaction, and the cluster with low perception showed a low level of job satisfaction in every aspect. Third, the difference of clusters by demographic characteristics was verified. In case of monthly wage, the perception level decreased as the monthly wage increased. This shows the characteristic of the MICE industry. The increase in monthly wages does not secure professionalism, but instead active work experience somehow accumulates professionalism. In addition, it reflects the increasing turnover intention caused by the low increase rate of wages. This result was found to support some of the findings of the literature review [14].
There may be five implications presented about the job satisfaction and job performance difference depending on professionalism perception of convention workers. First, there should be motivation and education that could promote professionalism perception towards clusters with low perception. This may improve job satisfaction and job performance. Second, since old age and high numbers of service do not prove high professionalism perception, promotion in appropriate period or provision of environment that ensures both work and study is required. Third, to increase the professionalism perception of convention workers, improvements of working conditions and institutional supplementation of wage, welfare, and job security compared to other occupations is needed. Fourth, in order to promote professionalism of convention workers, their intellectual curiosity should be gratified by offering the chance of participation in seminars, annual general meetings, forum and communities that are hosted by governance level institutions like government and associations. Fifth, work standardization indexes should be supplemented to increase professionalism of convention workers, and work and career development of the industry should be systemized by encouraging companies to utilize work standardization and behavioral standards.

5.2. Limitations and Future Research

Through this study, academic and practical significance was found in human resource management in the MICE industry, but several limitations exist. Therefore, a follow-up study that can complement and develop these limitations is proposed. First, in this study, a quantitative survey method using a questionnaire was performed to find out the difference between job satisfaction and job performance according to professional recognition. By expanding its scope nationwide, we can understand the perception and underlying psychology of the value of MICE work, identify regional disparities, and discuss solutions. In addition, it is expected that results that can facilitate understanding, and the development of various occupations in the convention industry can be derived through research on the differences between various occupational groups in the MICE industry.

Author Contributions

Conceptualization, W.Y., E.K. and Y.Y.; Data curation, E.K. and S.J.; Formal analysis, W.Y. and S.J.; Investigation, S.J.; Methodology, W.Y., E.K. and S.J.; Project administration, W.Y. and Y.Y.; Resources, E.K., S.J. and Y.Y.; Software, S.J.; Supervision, Y.Y.; Validation, W.Y. and E.K.; Visualization, E.K. and S.J.; Writing—Original draft, W.Y., E.K. and S.J.; Writing—Review & editing, Y.Y. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. BECA. The Value of Business Events to Australia; BECA: Sydney, Australia, 2015. [Google Scholar]
  2. Events Industry Council (EIC). Economic Significance of Meetings to the USEconomy; Events Industry Council: Washington, DC, USA, 2018. [Google Scholar]
  3. McCartney, G. The CAT (Casino Tourism) and the MICE (Meetings, Incentives, Conventions, Exhibitions): Key Development Considerations for the Convention and Exhibition Industry in Macao. J. Conv. Event Tour. 2008, 9, 293–308. [Google Scholar] [CrossRef]
  4. Crouch, G.; Louviere, J. The determinants of convention site selection: A logistic choice model from experimental data. J. Travel Res. 2004, 43, 14–18. [Google Scholar] [CrossRef]
  5. Weber, K. Meeting planners’ perceptions of hotel chain practices and benefits: An importance/performance analysis. Cornell Hotel Restaur. Adm. Q. 2000, 41, 32–38. [Google Scholar] [CrossRef]
  6. Kim, W.; Malek, K. Understanding the relationship among motivation to attend, satisfaction, and loyalty of medical convention attendees. J. Conv. Event Tour. 2017, 18, 282–300. [Google Scholar] [CrossRef]
  7. Jotikasthira, N.; Bhutibhunthu, S.; Chuaychoo, I. Competency-based hiring as a tool to improve the Thai meeting and convention industry: A sales executive perspective. Impact Assess. Tour. Econ. 2016, 107, 141–156. [Google Scholar]
  8. Kang, H.J.; Gatling, A.; Kim, J. The impact of supervisory support on organizational commitment, career satisfaction, and turnover intention for hospitality frontline employees. J. Hum. Resour. Hosp. Tour. 2015, 14, 68–89. [Google Scholar] [CrossRef]
  9. Inelmen, K.; Kirant-Yozcu, Ö. An Investigation of Potential MICE Sector Employees’ Work Values; Department of Tourism Administration, Bogazici University: Bebek, Turkey, 2016; pp. 15–18. [Google Scholar]
  10. Kim, H.S. A semantic network analysis of big data regarding food exhibition at convention center. Culin. Sci. Hosp. Res. 2017, 23, 257–270. [Google Scholar]
  11. Lee, S.H.; Fenich, G.G. Perceived fairness of room blocks in the Meetings, Incentives, Convention, and Exhibition industry. J. Conv. Event Tour. 2016, 17, 159–171. [Google Scholar] [CrossRef]
  12. Akgunduz, Y.; Kizilcalioglu, G.; Sanli, S.C. The effects of job satisfaction and meaning of work on employee creativity: An investigation of EXPO 2016 exhibition employees. Tour. Int. Interdiscip. J. 2018, 66, 130–147. [Google Scholar]
  13. Grutterink, H.; Van der Vegt, G.S.; Molleman, E.; Jehn, K.A. Reciprocal expertise affirmation and shared expertise perceptions in work teams: Their implications for coordinated action and team performance. Appl. Psychol. 2013, 62, 359–381. [Google Scholar] [CrossRef]
  14. Newell, S.J.; Belonax, J.J.; McCardle, M.W.; Plank, R.E. The effect of personal relationship and consultative task behaviors on buyer perceptions of salesperson trust, expertise, and loyalty. J. Mark. Theory Pract. 2011, 19, 307–316. [Google Scholar] [CrossRef]
  15. Mody, M.; Gordon, S.; Lehto, X.; So, S.I.A.; Li, M. The augmented convention offering: The impact of destination and product images on attendees’ perceived benefits. Tour. Anal. 2016, 21, 1–15. [Google Scholar] [CrossRef] [Green Version]
  16. Sandy Sou, K.I.; McCartney, G. An assessment of the human resources challenges of Macao’s meeting, incentive, convention, and exhibition (MICE) industry. J. Hum. Resour. Hosp. Tour. 2015, 14, 244–266. [Google Scholar] [CrossRef]
  17. Hunt, M.M. Employees’ Perceptions of Sustainability Programs: A Multiple US Convention Center Case Study. Ph.D. Thesis, The University of Utah, Salt Lake City, UT, USA, 2017. [Google Scholar]
  18. Buathong, K.; Lai, P.C. Perceived Attributes of Event Sustainability in the MICE Industry in Thailand: A Viewpoint from Governmental, Academic, Venue and Practitioner. Sustainability 2017, 9, 1151. [Google Scholar] [CrossRef] [Green Version]
  19. Berridge, G. Events Design and Experience; Routledge: London, UK, 2007. [Google Scholar]
  20. Silvers, J.R. Professional Event Coordination; John Wiley & Sons: Hoboken, NJ, USA, 2012. [Google Scholar]
  21. Atir, S.; Rosenzweig, E.; Dunning, D. When knowledge knows no bounds: Self-perceived expertise predicts claims of impossible knowledge. Psychol. Sci. 2015, 26, 1295–1303. [Google Scholar] [CrossRef] [Green Version]
  22. Holyoak, K.J. 12 Symbolic connectionism: Toward third-generation theories of expertise. In Toward a General Theory of Expertise: Prospects and Limits; Cambridge University Press: Cambridge, UK, 1991; Volume 301. [Google Scholar]
  23. Anderson, J.R. Acquisition of cognitive skill. Psychol. Rev. 1982, 89, 369. [Google Scholar] [CrossRef]
  24. Rosenbloom, P.; Newell, A. Learning by chunking: A production system model of practice. In Production System Models of Learning and Development; MIT Press: Cambridge, MA, USA, 1987; pp. 221–286. [Google Scholar]
  25. Shiffrin, R.M.; Schneider, W. Controlled and automatic human information processing: II. Perceptual learning, automatic attending and a general theory. Psychol. Rev. 1977, 84, 127. [Google Scholar] [CrossRef]
  26. Ottati, V.; Price, E.D.; Wilson, C.; Sumaktoyo, N. When self-perceptions of expertise increase closed-minded cognition: The earned dogmatism effect. J. Exp. Soc. Psychol. 2015, 61, 131–138. [Google Scholar] [CrossRef]
  27. Dijks, M.A.; Brummer, L.; Kostons, D. The anonymous reviewer: The relationship between perceived expertise and the perceptions of peer feedback in higher education. Assess. Eval. High. Educ. 2018, 43, 1258–1271. [Google Scholar] [CrossRef] [Green Version]
  28. McCabe, V.S. Developing and sustaining a quality workforce: Lessonsfrom the convention and exhibition industry. J. Conv. Event Tour. 2012, 13, 121–134. [Google Scholar] [CrossRef]
  29. Treem, J.W.; Leonardi, P.M. Recognizing expertise: Factors promoting congruity between individuals’ perceptions of their own expertise and the perceptions of their coworkers. Commun. Res. 2017, 44, 198–224. [Google Scholar] [CrossRef]
  30. Kang, Y.; Ritzhaupt, A.D. A job announcement analysis of educational technology professional positions: Knowledge, skills, and abilities. J. Educ. Technol. Syst. 2015, 43, 231–256. [Google Scholar] [CrossRef]
  31. Kianto, A.; Vanhala, M.; Heilmann, P. The impact of knowledge management on job satisfaction. J. Knowl. Manag. 2016, 20, 621–636. [Google Scholar] [CrossRef]
  32. Gilmer, H.; Crissy, W.J.E.; Glaser, R.; Gregg, L.W. Industrial Psychology; Von Haller Gilmer, B., Ed.; McGraw-Hill Book Company: New York, NY, USA, 1966. [Google Scholar]
  33. Locke, E.A. Goal setting and strategy effects on complex tasks. Res. Organ. Behav. 1990, 12, 73–109. [Google Scholar]
  34. Mathieu, C.; Fabi, B.; Lacoursière, R.; Raymond, L. The role of supervisory behavior, job satisfaction and organizational commitment on employee turnover. J. Manag. Organ. 2016, 22, 113–129. [Google Scholar] [CrossRef]
  35. Sasser, W.E.; Schlesinger, L.A.; Heskett, J.L. Service Profit Chain; Simon and Schuster: New York, NY, USA, 1997. [Google Scholar]
  36. Steers, R.M.; Porter, L.W. Motivation and Work Behavior; McGraw-Hill: New York, NY, USA, 1983. [Google Scholar]
  37. Lawler, E.E., III; Porter, L.W. The effect of performance on job satisfaction. Ind. Relat. J. Econ. Soc. 1967, 7, 20–28. [Google Scholar] [CrossRef]
  38. Perrone, K.; Webb, L. Relationships Between Parental Attachment, Workand Family Roles, and Life Satisfaction. Career Dev. Q. 2007, 55, 237–248. [Google Scholar] [CrossRef]
  39. Therasa, C.; Vijayabanu, C. The impact of Big Five personality traits and positive psychological strengths towards job satisfaction: A review. Period. Polytech. Soc. Manag. Sci. 2015, 23, 142–150. [Google Scholar] [CrossRef] [Green Version]
  40. Pouramini, Z.; Fayyazi, M. The relationship between positive organizational behavior with job satisfaction, organizational citizenship behavior, and employee engagement. Int. Bus. Res. 2015, 8, 57–77. [Google Scholar] [CrossRef] [Green Version]
  41. Raziq, A.; Maulabakhsh, R. Impact of working environment on job satisfaction. Procedia Econ. Financ. 2015, 23, 717–725. [Google Scholar] [CrossRef]
  42. Kalidass, A.; Bahron, A. The relationship between perceived supervisor support, perceived organizational support, organizational commitment and employee turnover intention. Int. J. Bus. Adm. 2015, 6, 82–95. [Google Scholar] [CrossRef] [Green Version]
  43. Jung, H.S.; Yoon, H.H. The impact of employees’ positive psychological capital on job satisfaction and organizational citizenship behaviors in the hotel. Int. J. Contemp. Hosp. Manag. 2015, 27, 1135–1156. [Google Scholar] [CrossRef]
  44. Atmojo, M. The influence of transformational leadership on job satisfaction, organizational commitment, and employee performance. Int. Res. J. Bus. Stud. 2015, 5, 111–125. [Google Scholar] [CrossRef] [Green Version]
  45. Bin, A.S. The relationship between job satisfaction, job performance and employee engagement: An explorative study. Issues Bus. Manag. Econ. 2015, 4, 1–8. [Google Scholar]
  46. Bae, J.; Lawler, J. Organizational performance and HRM in Korea: Impacton firm performance in an emerging economy. Acad. Manag. J. 2000, 43, 502–517. [Google Scholar]
  47. Guthrie, J. High-involvement work practices, turnover, and productivity:Evidence from New Zealand. Acad. Manag. J. 2001, 44, 180–190. [Google Scholar]
  48. Tett, R.P.; Meyer, J.P. Job satisfaction, Organizational commitment, turnover intention and turnover: Path analyses based on meta-analytic findings. Pers. Psychol. 1993, 46, 259–293. [Google Scholar] [CrossRef]
  49. Latham, G.P.; Pinder, C.C. Work motivation theory and research at theDawn of the Twenty-First century. Annu. Rev. Psychol. 2005, 56, 485–516. [Google Scholar] [CrossRef]
  50. Silvers, P. Effects of disposition on hospitality employee job satisfaction and commitment. Int. J. Contemp. Hosp. Manag. 2006, 18, 317–328. [Google Scholar]
  51. Patiar, A.; Wang, Y. The effects of transformational leadership and organizational commitment on hotel departmental performance. Int. J. Contemp. Hosp. Manag. 2016, 28, 586–608. [Google Scholar] [CrossRef]
  52. Tarigan, V.; Ariani, D.W. Empirical study relations job satisfaction, organizational commitment, and turnover intention. Adv. Manag. Appl. Econ. 2015, 5, 21–35. [Google Scholar]
  53. Ayazlar, G.; Güzel, B. The effect of loneliness in the workplace on organizational commitment. Procedia-Soc. Behav. Sci. 2014, 131, 319–325. [Google Scholar] [CrossRef] [Green Version]
  54. Pelit, E.; Dinçer, F.İ.; Kılıç, İ. The effect of nepotism on organizational silence, alienation and commitment: A study on hotel employees in turkey. J. Manag. Res. 2015, 7, 82–110. [Google Scholar] [CrossRef] [Green Version]
  55. Lee, S.S.; Park, E.M. A Study on the infant educare teacher’s recognition of professionalism and professional development level. J. Early Child. Educ. Educ. Welf. 2014, 18, 437–460. [Google Scholar]
  56. Lim, D.J.; Ha, H.S.; Kim, H.Y. A Study on the Effect of Professional Worker’s Professional Perception of Hotel Restaurant on Job Satisfaction and Organizational Behavior. J. Tour. Leis. Res. 2017, 29, 197–212. [Google Scholar]
  57. Lee, M.H.; Chang, H.J. A Study on the Effect of the Organizational Trust of Convention Employees on the Job Satisfaction and Organizational Performance. Int. J. Tour. Manag. Sci. 2015, 30, 375–399. [Google Scholar]
  58. Sohn, S.A. Study on the Influence of the Communication Competence of the Convention Planners on the Job Performance. Master’s Thesis, KyungHee University, Seoul, Korea, 2017. [Google Scholar]
  59. Kim, D.M. QuickPass Paper Statistical Analysis. 2019. Available online: https://qpassthesis.tistory.com/ (accessed on 30 April 2022).
Table 1. Profile of respondents.
Table 1. Profile of respondents.
ItemFrequencyRatioItemFrequencyRatio
SexMale13154.1Age20s9840.5
Female11145.930s9639.7
Monthly incomeless than 2 million W8033.140s3815.7
2 million W~less than 3 million W9137.6Over 50104.1
3 million W~less than 4 million W4217.4PositionEmployee5723.6
4 million W~less than 5 million W187.4Chief3313.6
Over 5 million W114.5Deputy6326
Working yearsless than 2 years4719.4Manager5623.1
2~less than 4 years6326.0Director or higher3313.6
4~less than 6 years5221.5Educationhigh school diploma or under 166.6
6~less than 8 years3313.6college graduation2811.6
8~less than 10 years229.1University graduation15664.5
Over 10 years2510.3Postgraduate or above4217.4
Table 2. Results of factor analysis for Professionalism perception variables.
Table 2. Results of factor analysis for Professionalism perception variables.
FactorMeanFactor LoadingEigen ValuesExplained VarianceCronbach’s α
Factor 1: Vocational expertise 6.02930.1470.830
Participation in outside activities is needed to improve professionalism4.170.808
Qualification standards for job related certificates have to be strengthened to improve professionalism4.140.798
Dedicated organization is needed to improve welfare and professionalism4.240.770
Academic degree related to the job is required3.960.726
Factor 2: Work autonomy 2.42112.1050.894
The importance of tasks of convention workers is acknowledged4.050.872
Convention management is left to the convention workers4.070.866
Convention workers take responsibility for incidents that have occurred during the convention4.020.712
Factor 3: Social contribution 1.7648.8190.802
The job contributes to the cultural development of the local society4.320.779
The job contributes to the economic development of the local society4.310.748
The job contributes to development of future society4.200.712
The job requires social contribution over economic gains3.980.630
Factor 4: Social status 1.5027.5110.800
Working condition is fine2.540.901
Have better incomes compared to other occupations of similar academic background2.600.823
Job security of the industry is stable2.590.794
Factor 5: Job ethics 1.2016.0040.705
Subcontractors are respected, and their differences are accepted4.260.841
There are beliefs in work that mediate and manage affairs like convention hosting, organizing, operating, etc.4.260.769
Moral obligations are well followed4.210.580
Factor 6: Work functionality 1.1175.5840.625
Voluntary participation in various educations is required4.200.797
High-level of work performance is required4.180.703
Continuous research about method of mediation and management of works such as international conference hosting, organizing, operating is needed.4.240.659
Note: KMO measure of sampling adequacy = 0.798, Chi-Square = 2592.661, df = 190, p < 0.001.
Table 3. Results of factor analysis for job performance variables.
Table 3. Results of factor analysis for job performance variables.
FactorMeanFactor LoadingEigen ValuesExplained VarianceCronbach’s α
Factor 1: salary satisfaction
Satisfied with the decision procedure of wage, bonus, and allowance2.700.8953.44334.4300.890
The effort matches the wage2.710.875
Wage is enough for living2.780.866
Satisfied with welfare2.810.832
Factor 2: work contents satisfaction
The job is valuable4.330.8622.75727.5660.831
The job provokes constant interest4.280.829
Feel sense of accomplishment from the job4.430.821
Factor 3: relationship with coworkers’ satisfaction
Coworkers are helpful4.160.8081.14411.4450.752
My boss evaluates me fairly3.770.792
Satisfied with relation with coworkers4.040.778
Note: KMO measure of sampling adequacy = 0.806, Chi-Square = 1114.210, df = 45, p < 0.001; Bartlett’s test of sphericity (p < 0.001).
Table 4. Results of Cluster analysis based on Professionalism perception.
Table 4. Results of Cluster analysis based on Professionalism perception.
Vocational ExpertiseWork AutonomySocial
Contribution
Social
Status
Job EthicsWork
Functionality
K-means cluster analysiscluster 1 (n = 111)4.334.524.483.114.344.24
cluster 2 (n = 61)3.592.843.522.403.883.98
cluster 3 (n = 70)4.284.354.351.874.414.35
F42.030 ***238.378 ***73.285 ***84.911 ***21.8589.763 ***
Note: *** p < 0.001, cluster 1: High level, cluster 2: Low level, cluster 3: Moderate level.
Table 5. Results of differences between clusters by Professionalism perception.
Table 5. Results of differences between clusters by Professionalism perception.
FunctionClusterMeanS.D.FpPost-Hoc Analysis
Vocational expertise14.3270.05042.0300.0001 < 3 < 1
23.5900.068
34.2820.063
Work autonomy14.5230.048238.3780.0002 < 3 < 1
22.8360.065
34.3520.060
Social contribution14.4820.04873.2850.0002 < 3 < 1
23.5250.065
34.3460.061
Social status13.1110.06084.9110.0003 < 2 < 1
22.4040.081
31.8710.076
Job ethics14.3420.04821.8580.0002 < 1 < 3
23.8800.064
34.4100.060
Work functionality14.2430.0479.7630.0002 < 1 < 3
23.9780.063
34.3480.059
Note: Wilks’ Lambda = 0.166, F = 56.85, p < 0.001.
Table 6. Results of Discriminant analysis for clusters.
Table 6. Results of Discriminant analysis for clusters.
FunctionEigen ValueDispersion (%)Canonical CorrelationWilks Lambda dfχ2
12.58480.20.8490.1708420.541 ***
20.63919.80.6240.6103117.381 ***
cluster titlecluster 1
(n = 111)
cluster 2
(n = 61)
cluster 3
(n = 70)
Total
High-level101 (91.0%)3 (4.9%)1 (1.4%) 111
Low-level1 (0.9%)57 (93.4%)0 (0.0%) 61
Moderate-level9 (8.1%)1 (1.6%)69 (98.6%) 70
Note: *** p < 0.001, Discriminatory Hit ratio 93.8%.
Table 7. Results of differences of job satisfaction by cluster.
Table 7. Results of differences of job satisfaction by cluster.
FunctionClusterMeanS.D.FpPost-Hoc Analysis
Salary satisfaction14.520.4428.130.000 ***2 < 3 < 1
23.930.64
34.420.47
Work contents satisfaction13.110.8028.390.000 ***3 < 2 < 1
22.720.84
32.210.71
Satisfaction with Relationship with coworkers14.090.5615.840.000 ***2 < 1 < 3
23.620.64
34.160.64
Note: *** p < 0.001; Wilks’ Lambda = 0.631, F = 20.447, p < 0.001.
Table 8. Results of differences of job performance by cluster.
Table 8. Results of differences of job performance by cluster.
FunctionClusterMeanS.D.FpPost-Hoc Analysis
Job performance14.420.4435.0260.000 ***2 < 3 < 1
23.820.51
34.330.47
Note: *** p < 0.001.
Table 9. Results of Cross Tabulation of Professionalism Perception Segmentation and Demographic Characteristics.
Table 9. Results of Cross Tabulation of Professionalism Perception Segmentation and Demographic Characteristics.
CharacteristicProfessionalism Perception of the Convention Workersχ2p
Cluster 1Cluster 2Cluster 3
EducationHigh school graduation7 (6.3%)1 (1.6%)8 (11.4%)17.0030.009 **
College graduation13 (11.7%)3 (4.9%)12 (17.1%)
University graduation67 (60.4%)51 (83.6%)38 (54.3%)
Postgraduate or above24 (21.6%)6 (9.8%)12 (17.1%)
PositionEmployee24 (21.6%)23 (37.7%)10 (14.3%)15.1880.056
Chief15 (13.5%)8 (13.1%)10 (14.3%)
Deputy27 (24.3%)16 (26.2%)20 (28.6%)
Manager32 (28.8%)7 (11.5%)17 (24.3%)
Director or higher13 (11.7%)7 (11.5%)13 (18.6%)
Note: ** p < 0.01.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Yan, W.; Kim, E.; Jeong, S.; Yoon, Y. Toward Improving Working Conditions to Enhance Professionalism of Convention Workers: Focusing on the Difference between Job Satisfaction and Job Performance According to Professionalism Perception. Int. J. Environ. Res. Public Health 2022, 19, 5829. https://doi.org/10.3390/ijerph19105829

AMA Style

Yan W, Kim E, Jeong S, Yoon Y. Toward Improving Working Conditions to Enhance Professionalism of Convention Workers: Focusing on the Difference between Job Satisfaction and Job Performance According to Professionalism Perception. International Journal of Environmental Research and Public Health. 2022; 19(10):5829. https://doi.org/10.3390/ijerph19105829

Chicago/Turabian Style

Yan, Wenyan, Eunjin Kim, Soyeon Jeong, and Yeonghye Yoon. 2022. "Toward Improving Working Conditions to Enhance Professionalism of Convention Workers: Focusing on the Difference between Job Satisfaction and Job Performance According to Professionalism Perception" International Journal of Environmental Research and Public Health 19, no. 10: 5829. https://doi.org/10.3390/ijerph19105829

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop