The role of artificial intelligence recruitment and quality to explain the phenomenon of employer reputation
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Kot, Sebastian; Hafezali Iqbal Hussain; Bilan, Svitlana; Haseeb, Muhammad; Mihardjo, Leonardus W. Wasono Article The role of artificial intelligence recruitment and quality to explain the phenomenon of employer reputation Journal of Business Economics and Management (JBEM) Provided in Cooperation with: Vilnius Gediminas Technical University (VILNIUS TECH) Suggested Citation: Kot, Sebastian; Hafezali Iqbal Hussain; Bilan, Svitlana; Haseeb, Muhammad; Mihardjo, Leonardus W. Wasono (2021) : The role of artificial intelligence recruitment and quality to explain the phenomenon of employer reputation, Journal of Business Economics and Management (JBEM), ISSN 2029-4433, Vilnius Gediminas Technical University, Vilnius, Vol. 22, Iss. 4, pp. 867-883, https://doi.org/10.3846/jbem.2021.14606 This Version is available at: https://hdl.handle.net/10419/317502 Standard-Nutzungsbedingungen: Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden. Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen. Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in EconStor may be saved and copied for your personal and scholarly purposes. You are not to copy documents for public or commercial purposes, to exhibit the documents publicly, to make them publicly available on the internet, or to distribute or otherwise use the documents in public. If the documents have been made available under an Open Content Licence (especially Creative Commons Licences), you may exercise further usage rights as specified in the indicated licence. https://creativecommons.org/licenses/by/4.0/
Copyright © 2021 The Author(s). Published by Vilnius Gediminas Technical University *Corresponding author. E-mail: sebaca[email protected]st.pl This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons. org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Journal of Business Economics and Management ISSN 1611-1699 / eISSN 2029-4433 2021 Volume 22 Issue 4: 867–883 https://doi.org/10.3846/jbem.2021.14606 THE ROLE OF ARTIFICIAL INTELLIGENCE RECRUITMENT AND QUALITY TO EXPLAIN THE PHENOMENON OF EMPLOYER REPUTATION Sebastian KOT 1, 2*, Hafezali Iqbal HUSSAIN 3, 4, Svitlana BILAN 5, 6, Muhammad HASEEB 3, Leonardus W. W. MIHARDJO 7 1The Management Faculty, Czestochowa University of Technology, Częstochowa, Poland 2College of Business and Economics, University of Johannesburg, Johannesburg, South Africa 3Taylor’s Business School, Taylor’s University, Subang Jaya, Malaysia 4University of Economics and Human Sciences in Warsaw, Warsaw, Poland 5University of Economics and Innovation in Lublin, Lublin, Poland 6Al-Farabi Kazakh National University, Almaty, Republic of Kazakhstan 7Bina Nusantara University, Jalan Hang Lekir I no. 6, Senayan, Jakarta, 10270, Indonesia Received 12 October 2020; accepted 28 January 2021 Abstract. The prime contribution of current research entails the explanation of role of artificial intelligence based human resource management function to determine the employer reputation among pharmaceutical industry of Indonesia. The study intends to examine the empirically investigation the role and impact of artificial intelligence-based recruitment and artificial intelligence-based quality to determine the employer reputation with mediating role of artificial intelligence adoption. The study contributes to the body of knowledge and claims to be novel in explaining the AI based HR function to explain the phenomenon of employer reputation. The study examined the empirical investigation between AI based recruitment and AI based quality to influence the AI adoption that further predicts the phenomenon of employer reputation. The study was conducted on pharmaceutical industry of Indonesia and convenience sampling was used for data collected and Smart-PLS was utilized for data analysis. The study found that AI based recruitment and quality significantly influences the AI adoption and further it influences the employer reputation. The mediation role of artificial intelligence adoption is significant where it is found that artificial intelligence mediates the relationship between artificial intelligence recruitment and employer reputation, with similar significant mediation role between artificial intelligence quality and employer reputation. Keywords: artificial intelligence (AI), artificial intelligence recruitment (AIR), artificial intelligence quality (AIQ), artificial intelligence adoption (AIadopt), employer reputation (ER), human resource management (HRM). JEL Classification: E24, J24, O15.
868 S. Kot et al. The role of artificial intelligence recruitment and quality to explain the phenomenon of... Introduction The emergence of latest technologies and artificial intelligence has shaped the business practices towards digitally managed functions. The utilization of artificial intelligence to conduct business activities has taken attention due to its significant impact in business environment. The literature has expressed artificial intelligence (AI) as an umbrella of computer-based technology that serves various business functions with human like intelligent for effective decision making. The utilization of AI enables firms to create novel recognition patterns and language translation with various algorithms in global business environment to conduct business functions. The studies have been conducted to determine the role of AI in various business functions such as management, marketing, operations and supply chain management, few studies have been addressed the human resource management process including functions of HR. It has been documented in literature that firms adopt latest technological systems to conduct management functions, but parallel to adoption of technologies firms depends on traditional and non-technological methods for business management such as in HR functions including recruitment, advertisement, employees’ management and relations among different participants of same businesses. The emergence of IT based systems has provided functions to conduct business processes including recruitment processes, marketing functions and financial functions that have been improved since implementation of IT based systems (Nawaz, 2019). The business functions based on electronic means such as conducted through AI based systems known as electronic HR, electronic commerce and electronic management; the latest technological based equipment facilitates business processes with accuracy, effectiveness and speed since the emergence and implementation of IT based systems well known as artificial intelligence. The previous limited studies have been discussed electronic means of managing HR such as recruitment and hiring processes that required to fulfill the current vacant position at firms (Breaugh, 2013), including those devoted to social networks usage in HRM processes (Rozsa & Kmecová, 2020). The current study intends to explain the human resource functions in AI perspective that influence the employees related outcomes. The study contributes to the body of knowledge by explaining the human resource functions in AI technological perspective. The present intends to determine the relationship and influence of AI based system on employer reputation, the study intends to determine the influence of AI based recruitment and AI quality on adoption of AI based systems that determine the employers’ reputation among Indonesian pharmaceutical industry. The image of firm is referred as employer reputation that is perceived by current employees and potential workforce to work for firm as a better place to work and considered as one of attractive destination to work. The reputation of employer demonstrates the ability of firms that attract, recruit and retain talent in organization that contributes in achievement of objectives. The poor talent management and human resource practices brings negative outcomes by increase in cost of hiring, compensation cost, training cost and it creates poor reputation (Altounjy etal., 2020; Dlalisa & Govender, 2020; Berejena etal., 2020; Auriacombe & Sithomola, 2020; Basheka & Auriacombe, 2020; Pachura, 2019). The various business practices adopted by firms receive various criticisms that damage the reputation of organizations among customers, business partners and employees. The poor practices have been observed
Journal of Business Economics and Management, 2021, 22(4): 867–883 869 in Amazon to criticize employees in front of their bosses, sabotage among employees, stress at workplace, and higher work pressure due to overworking demand by management. These practices considered as bad that caused poor reputation that negatively affected talent management that later cause employee turnover. The studies have been conducted to address the phenomenon of reputation at workplace that fosters the talent in organizations (Babikova & Bucek, 2018). The literature has given attention to employer reputation but it’s very little known empirically as a corporate phenomenon. The studies are required to be conducted to determine the relation and influence of artificial intelligence based systems in employer reputation (Benitez etal., 2020), including those developed within the knowledge managements systems (Mishchuk etal., 2016; Kot & Pigoń, 2014). The literature has highlighted various particulars that influence the reputation such as pride, satisfaction, commitment and perception of employees, investors and customers that determine the reputation of firms (Auger etal., 2013; Derun & Mysaka, 2018). Further, the studies have depicted that firms must focus and involve in environmental concerns that affect workplace and it becomes attractive for potential employment (Jones etal., 2014). The previous study has focused on involvement of women gender that influence the reputation of firms (Iseke & Pull, 2019). The emergence of information technology the functions of business management have been altered during data processing to conduct activities based on AI and technological aspects. The functions of business such as management, financial department, operations and HR department have been altered due to electronic means and emergence of technological equipment and AI based systems. The term of electronic recruitment and electronic based HR functions emerged due to its accuracy and speed while reducing cost and incorporated various long-term benefits. The emergence and implementation of AI based functions brings various benefits to business functions such as recruitment process, hiring process while keeping the cost lower and higher quality (Breaugh, 2013). The present study intends to determine the employer reputation of pharmaceutical industry based on utilization of AI based HR functions including AI recruitment and AI quality that predict AI adoption intention of firms to adopt and implement AI based solutions. The study also intends to determine the mediating role of AI adoption between exogenous and endogenous constructs of study. The study contributes to the body of knowledge by explaining recruitment function of HR under artificial intelligence perspective and quality of function under AI umbrella, the study also contributes to the body of knowledge by mediation role of AI adoption to predict employer reputation based on AI based recruitment and quality. The current paper entails the introduction and background, literature review, research methodology, analysis and discussion, and conclusion sections. The paper focused on the employer reputation based on artificial intelligence-based recruitment and quality with mediation role of artificial intelligence adoption among Indonesian pharmaceutical firms. 1. Literature review This section of research study entails the details about employer reputation based on various diverse aspects in different industries and regions of the world. The current study expresses
870 S. Kot et al. The role of artificial intelligence recruitment and quality to explain the phenomenon of... the phenomenon of employer reputation, AI based systems that are relevant to HR function that is one of prime factor named recruitment and quality based on AI perspective. This section presents the relationship between AI based recruitment and AI adoption, AI quality and AI adoption, AI adoption and employee reputation, mediating role of AI adoption between AI recruitment and employer reputation and mediation role of AI adoption between AI quality and employee reputation. 1.1. Artificial intelligence and employer reputation The current research study intends to determine the employer reputation of pharmaceutical industry of Indonesia based on AI adoption as mediator influenced by AI based recruitment and AI based quality. The first section presents the relationship between employer reputation and AI adoption by explaining the phenomenon of employer reputation of pharmaceutical industry of Indonesia. The literature has given attention to employer reputation and described that it is not only related to attracting or hiring the potential workforce but also impact the retention level of qualified human capital. The emerging nations has observed attrition and faced it as one of major issue in their industries such as India has observed 30% annual employee turnover as compare to China with 19% employee turnover, western countries have faced 5 to 6% employee turnover ratio as depicted in literature. The higher labor demand impacts the wage rate therefore industry becomes more attractive for potential candidates with higher level of qualification; that also causes the switching of employees from one firm to other due to attractive packages. Employees switch their employers due to attractive salary packages and various other working environmental factors. The frequent employee turnover causes various losses to the firms including negatively effect on productive pace, employee commitment and financial loss with human capital loss as one of major setback (Dögl & Holtbrügge, 2014; Abadía Alvarado & De la Rica, 2020; Bibi, 2020; Abdi Zarrin etal., 2020; Abulela & Davenport, 2020). The firms strive to attract potential candidates and most importantly firms focus to retain their top talented employees that are considered as human capital and important for firms in achievement of goals and objectives strategically and employees retention considered as one of important challenge for firms in today’s business world. The global operated firms faced this challenge at higher level as compare to non-global firms, the challenges and issues also includes diverse cultural values and staff management at various business units worldwide. The firms strive to focus on talent management and retention of employees to compete in global market, so therefore multinational firms attract potential candidates around the world with best qualities and talents and develop strategies to retain their employees regardless of their culture and nationality but only based on their talent, knowledge, skills and abilities. The firms focus to retain their knowledge-based employees such as scientists, researchers and engineers as these employees’ possess the potential to innovate and contribute towards achievement of goals and objective which further contribute in competitive advantages. The studies have been conducted to assess the critical role of knowledge workers have been played in creating innovative initiatives and to gain competitive advantages. The firms face short of workforce with multi skill employees and face challenges in attracting and acquiring talented employees to compete on global level (Caligiuri etal., 2010; Čančar, 2018; Akin Arikan, 2019).
Journal of Business Economics and Management, 2021, 22(4): 867–883 871 The literature has addressed the issue of adoption of AI based solution and technological advancements through well-established innovation diffusion theory and explained that AI adoption is necessary in organizational success. The theory of technology-organization-en- vironment (TOE) has been deployed as well to deeply understand the phenomenon of technology adoption and its influence on performance related outcomes (Alsheibani etal., 2020; Maake & Tranos, 2019; Adle & Akdemir, 2019). The studies have been proposed various research frameworks that addressed the role of diverse factors including organization context, technological context and environmental context towards adoption of AI based solution and technological advancements. The study entails top management support, organizational size, organizational readiness and managerial issues under organizational factors towards adoption of AI. The study also examined the role of technological context based on relative advantage and compatibility to determine the AI adoption. The third context examined in the study was environmental context that was judged on the base of competitive pressure and government regulations towards adoption of artificial intelligence based systems (Alsheibani etal., 2020). The previous studies have been examined the role of AI based solution to predict the adoption intention for performance enhancement. The researcher hasn’t come across a single study that empirically examines the relationship and influence between AI adoption and employer reputation. Based on previous studies the current study claims that AI adoption in firms influence the employer reputation. The present study claims to be one of pioneer study that intends to empirically examine the relationship between AI adoption and employer reputation among pharmaceutical industry of Indonesia. The above literature review and objective of study derives towards the following hypothesis: H1: Artificial Intelligence adoption significantly influence the Employer Reputation among pharmaceutical Industry of Indonesia. 1.2. Artificial intelligence based recruitment and artificial intelligence adoption and employer The emergence of technology and AI based systems has altered the HR processes including recruitment that has improved in performance perspective. The involvement of technology to conduct business processes coined the term electronic recruitment back in 80s that brings various benefits to the organizations from various perspectives. The e-recruitment facilitates firms to speed-up the process by minimizing cost and time and attracts potential employees around the world. The utilization of corporate website serves for recruitment and facilitate for hiring purposes that fulfills and disseminate the information about available vacancy and opportunities available in firms; there are various websites serve the purpose to hire the appropriate potential employees including Naukri.com, monster.com, careerbuilder.com and etc. around the world as these sites provide the links for currently available positions (Nawaz, 2019). The literature has expressed the role of information technology in conducting HR functions and introduced various significant benefitted changes at operational level. The internet era has contributed in development of various applications that serves different organizations
872 S. Kot et al. The role of artificial intelligence recruitment and quality to explain the phenomenon of... to conduct their business operations at managerial level. It demands relevant managerial competencies to conduct communications with stakeholders via AI based technologies, for instance, in case of e-commerce (Hu etal., 2019). The firms strive to utilize technology based business solutions due to higher effectiveness and efficiency of systems such as internet and AI based solutions provide digitalization aspect to conduct HR, finance and managerial functions to satisfy the customers and fulfill the demand of customers to gain competitive advantages that believed to be develop reputation (Bondarouk etal., 2017). The literature argued that utilization of artificial intelligence brings various benefits to the industry by improving the performance of HR functions through effective recruitment process, through effective training and development strategies, implementation of electronic payroll system, attract and acquire talent which further needed to be retained for competitive advantages based on the unique possessed skills, knowledge and abilities (Nawaz, 2019). It has been documented and observed practically that newly established technologies have been implemented for effective automation that has replaced the traditional workforce through robotics management. The utilization of technology has replaced the human efforts as automation has the capabilities of human like skills with intelligence based on AI solutions (van der Aalst etal., 2018). The research studies have been conducted to assess the HR management to influence the job satisfaction, description, screening of candidates, hiring, training and development, compensation, performance management and mapping based on implementation of expert systems to conduct business activities. The studies have addressed the need of implementation of IT based solutions and adopted a model for implementing the machine learning and artificial intelligence influence the innovation and increase the level of organizational success (Sadlapur, 2017; Bai etal., 2020; Chang & Huang, 2020; Abdulateef etal., 2020; Akbar etal., 2020). The previous study conducted by Nawaz (2019) that determines the employer reputation influenced by AI based HR system as electronic recruitment influence the employer reputation due to utilization of latest technological adoption such as AI based solutions and suggested to develop strategies for adoption and implementation of latest available technology to conduct business activities. The study depicted positive significant relationship between AI based HR management and employer reputation and argued that AI based systems assist in hiring and retaining talented employees around the world and contributes for competitive advantages. The current study derived the following hypothesis based on above literature: H2: Artificial Intelligence Recruitment system significantly influence the AI adoption among pharmaceutical Industry of Indonesia H3: Artificial Intelligence Recruitment system significantly influence the Employer Reputation among pharmaceutical Industry of Indonesia. 1.3. Artificial intelligence quality and artificial intelligence adoption and employer reputation The phenomenon of quality has been discussed extensively in literature and considered as an antecedent to satisfaction of customers and behavior of individuals according to management
Journal of Business Economics and Management, 2021, 22(4): 867–883 873 literature. The literature has defied the quality as perception of customers and assessment of customers about services or products offered by individual business entity. The quality depends upon value judgment or environment as tangible and intangible services offered by employees (Shi etal., 2014). The recent years have observed the rapid development of latest technologies included artificial intelligence to serve the community at wider and greater level. The quality of service based on utilization of technologies has been expressed in tourism industry and hospitality industry that found to be contributive in operational excellence and efficiency (Prentice etal., 2019). The artificial intelligence has been adopted and implemented by various organizations in various industries to conduct business activities by utilizing machines, robots and computers while assisting human to perform business management. In the present context, the utilization of AI primarily referred as digital services conducted through machines and robots to satisfy the customers and also facilitate in purchases and consumption. The artificial intelligence plays significant role in services provided to customers for their positive response towards product or services referred as satisfaction which becomes loyal in future that serves as competitive advantages (Lu etal., 2019). The research studies have been conducted to assess the role of customer relationship management through utilization of electronic management systems for information sharing among customers and participants of business units. The effective CRM based on latest available technologies enable firms to gain loyalty and satisfaction of customers to gain competitive advantages and for accomplishment of long term objectives (Kumar, 2010). The firms invest huge financial amounts to adopt and implement AI based solutions to conduct business functions including marketing, HR, finance department and managerial tasks. The studies have found that investments to adopt and implement latest technologies to conduct business operations bring benefits and worth returns specifically by gaining customer satisfaction which further leads to establish customer loyalty. Appropriate links are proved in various researches in the field of AI and ICT factors influencing business success due to improvement of relationships with customers (Bilan etal., 2019; Nikodemska-Wołowik etal., 2019). The technology based systems influence the services quality in any sector such as tourism industry, banking industry, education industry, hospitality industry and many more for the purpose of customer satisfaction and loyalty (Ganguli & Roy, 2011; Prentice etal., 2020). The current study intends to determine the employer reputation based on AI adoption influenced by artificial intelligence-based quality in pharmaceutical industry of Indonesia. The study is novel in empirically investigate the relationship and influence of artificial intelligence-based quality to predict the AI adoption that further leads to gain employer reputation. The study contributes to the body of knowledge by empirically examining the relationship between exogenous and endogenous constructs of study. The above literature derives us to following hypotheses: H4: Artificial Intelligence Quality significantly influence the AI adoption among pharmaceutical Industry of Indonesia H5: Artificial Intelligence Quality significantly influence the Employer Reputation among pharmaceutical Industry of Indonesia.
874 S. Kot et al. The role of artificial intelligence recruitment and quality to explain the phenomenon of... 1.4. Mediating role of AI adoption The study intends to determine the mediation role of AI adoption between exogenous and endogenous constructs of the study, the literature has been discussed between AI based recruitment function to predict AI adoption; the relationship between AI based quality and AI adoption; the relationship is described between AI adoption and employer reputation. The objective of the study also explained the relationship between AI based recruitment and employer reputation and AI based quality to predict employer reputation. So therefore AI adoption claims to be mediator between exogenous and endogenous constructs as objective of study and to explain the employer reputation among Indonesian pharmaceutical industry. H6: AI adoption mediate relationship between Artificial Intelligence Recruitment and employer reputation among pharmaceutical Industry of Indonesia H7: AI adoption mediate relationship between Artificial Intelligence Quality and employer reputation among pharmaceutical Industry of Indonesia. 1.5. Research framework The relationship between the variables are presented in Figure1 above which depicts the research framework for the empirical analysis which will be discussed below. The next section below outlines the methodology employed to validate the framework which is developed based on the 7 hypothesis proposed as a result of the arguments presented in the literature review. AI Recruitment AI Quality AI Adoption Employer Reputation Figure 1. Research framework 2. Research methodology The study was quantitative in nature and was conducted on pharmaceutical industry of Indonesia. The unit of analysis was organization and data was collected through structured questionnaires based on previously developed measurement scale. The purpose of the study was to determine the employer reputation based on AI based systems for human resource management. The study examined the relationship between artificial based recruitment sys-
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