Artificial intelligence in personnel management: the development of APM model

2020 ◽  
Vol 33 (4) ◽  
pp. 377-388
Kirk Chang

Purpose Managers have mixed views of how artificial intelligence (AI) affects personnel management (PM). The purpose of this paper is to identify potential knowledge gap and bring new insights to the AI-personnel-management literature. Design/methodology/approach Both applicability and theoretical perspectives are adopted to critically discuss the constraint and opportunity of AI in PM. Tables and narrative analysis are used to clarify the role of AI in managerial practices. Findings Research findings have helped to develop a new model titled AI in Personnel Management (APM). The APM model unfolds itself in three levels, followed by potential outcome. The three levels comprise “organizational, managerial and individual job levels,” and the outcome comprises “organizational performance, employees’ well-being and staff turnover rate”. Research limitations/implications The APM model helps managers to understand the implication of AI in their workplace. With better understanding of AI’s implication, managers are more likely to develop appropriate AI-driven managerial policies, which in turn benefit employees and their organizations. The APM model acts as a reference guide, helping managers to evaluate the AI’s constraint and opportunity in their managerial practices. Originality/value The APM model is valuable and informative to the academic researchers, as it has first responded to Malik et al. (2019)’s call (re: the absence of AI and management literature), and, more importantly, it has advanced the knowledge of AI–management relationship, supporting scholars to further understand the role of AI in PM.

2016 ◽  
Vol 24 (2) ◽  
pp. 141-144 ◽  
Tom P. Abeles

Purpose This paper aims to explore how the introduction of robots and artificial intelligence raises questions regarding the role of “work” not just in meeting societal material needs but challenges the idea of work as an underlying paradigm of human society, particularly as personal identity. Design/methodology/approach This paper takes the form of an editorial opinion piece. Findings “Work” is a defining characteristic of an individual. The entrance of robots and artificial intelligence could be a greater challenge to an individual’s sense of well-being and identity than only for filling traditional functions and basic needs of society. Social Implications The question is raised as to the psychological and social implications of the “immigration” of a new “culture” in the form of artificial intelligence and robotics beyond a local or regional basis. Originality/value The increasing presence of robots and artificial intelligence not only offers alternative ways for society to function but also sharpens the challenges that one culture faces when confronted by other communities who are able to fill traditional positions beyond the traditional one of “work”.

2016 ◽  
Vol 10 (1) ◽  
pp. 78-92 ◽  
Christopher Richardson ◽  
Md Salleh Yaapar ◽  
Sabrina Amir

Purpose – The purpose of this paper is to explore the role of budi, a concept incorporating moral values and intellect, in shaping the Malay workplace ethics and behaviour of the Malays. Design/methodology/approach – This is a conceptual paper investigating how existing knowledge of budi and Malay cultural traditions manifests and affects contemporary workplace practices. Findings – Although the origins of budi can be traced back to pre-Islamic Malay civilisation, its influence can still be found in contemporary workplace settings. For example, the hierarchical organisational structure and workplace etiquette that characterise Malay managerial practices are related to budi. At the same time, this paper also suggests that budi may potentially serve as a catalyst for certain less desirable work practices, including the greater importance attached to prioritising social relations over work performance. Originality/value – In analysing budi, the paper explores a largely overlooked cultural concept within management literature. Although the Malay world is a rapidly growing centre of economic and business activity, relatively little scholarly attention has been devoted to exploring the cultural underpinnings and foundations that shape and influence Malay managerial and workplace practices among Malays.

2014 ◽  
Vol 8 (4) ◽  
pp. 577-592 ◽  
Yanni Yu ◽  
Yongrok Choi

Purpose – The purpose of this paper is to investigate the mediating effect of organizational trust on the relationship between perceived corporate social responsibility (CSR) practices and firm performance. Design/methodology/approach – A total of 674 questionnaires were sent randomly to Chinese firms to obtain a total of 168 reliable responses. A confirmatory factor analysis was conducted for a validity test, and structural equation modeling was employed to test the mediating effect of organizational trust. Findings – The empirical results show that perceived CSR practices of firms had significant direct effects on employee well-being and organizational performance and that organizational trust partially mediated the relationships of CSR practices to employee well-being as well as to organizational performance. Research limitations/implications – The data may not fully represent a generalized survey of all industries with CSR management. In this regard, future research should focus on a specific Chinese industry. The results suggest that firms should more actively promote the role of employees in CSR strategies to better build organizational trust. Originality/value – Previous CSR studies have generally focused on customers’ perceptions, paying little attention to employees’ viewpoints. This study provides the first empirical analysis of the relationship between CSR and firm performance from the perspective of employees in Chinese firms. In addition, the study examines the mediating role of trust in CSR, which has been rarely considered in the context of Chinese firms.

2019 ◽  
Vol 38 (2) ◽  
pp. 368-383
King Yin Wong ◽  
Michael Lynn

Purpose The extant literature has mixed results regarding the credit card cue effect. Some showed that credit card cues stimulate spending, whereas others were unable to replicate the findings or found that cues discourage consumer spending. The purpose of this paper is to investigate how consumers’ sensitivity to the pain of payment affects their mental associations about credit cards and how the differences in credit card associations moderate the credit card cue effect on spending, providing a possible explanation for the mixed results in the literature. Furthermore, this paper examines the role of consumers’ perceived financial well-being, measured by their perceptions of current and future wealth and their sense of financial security, in mediating this moderation effect. Design/methodology/approach An experimental study was conducted with a sample of 337 participants to test the hypothesized model. Findings After being shown credit card cues, spendthrift participants had more spending-related thoughts and less debt-related thoughts, perceived themselves as having better financial well-being and consequently spent more than tightwad participants. Originality/value To the authors’ knowledge, this is the first study to investigate the direct link between an exposure to credit card cues and perceived financial well-being, and one of the few to show evidence of the moderating effect of consumers’ sensitivity to the pain of payment on spending when credit card cues are present. This study suggests that marketers may use credit card cues to promote consumer spending, whereas consumers, especially spendthrifts, should be aware of how credit card cues may inflate their perceived financial well-being and stimulate them to spend more.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Sachin Modgil ◽  
Shivam Gupta ◽  
Rébecca Stekelorum ◽  
Issam Laguir

PurposeCOVID-19 has pushed many supply chains to re-think and strengthen their resilience and how it can help organisations survive in difficult times. Considering the availability of data and the huge number of supply chains that had their weak links exposed during COVID-19, the objective of the study is to employ artificial intelligence to develop supply chain resilience to withstand extreme disruptions such as COVID-19.Design/methodology/approachWe adopted a qualitative approach for interviewing respondents using a semi-structured interview schedule through the lens of organisational information processing theory. A total of 31 respondents from the supply chain and information systems field shared their views on employing artificial intelligence (AI) for supply chain resilience during COVID-19. We used a process of open, axial and selective coding to extract interrelated themes and proposals that resulted in the establishment of our framework.FindingsAn AI-facilitated supply chain helps systematically develop resilience in its structure and network. Resilient supply chains in dynamic settings and during extreme disruption scenarios are capable of recognising (sensing risks, degree of localisation, failure modes and data trends), analysing (what-if scenarios, realistic customer demand, stress test simulation and constraints), reconfiguring (automation, re-alignment of a network, tracking effort, physical security threats and control) and activating (establishing operating rules, contingency management, managing demand volatility and mitigating supply chain shock) operations quickly.Research limitations/implicationsAs the present research was conducted through semi-structured qualitative interviews to understand the role of AI in supply chain resilience during COVID-19, the respondents may have an inclination towards a specific role of AI due to their limited exposure.Practical implicationsSupply chain managers can utilise data to embed the required degree of resilience in their supply chains by considering the proposed framework elements and phases.Originality/valueThe present research contributes a framework that presents a four-phased, structured and systematic platform considering the required information processing capabilities to recognise, analyse, reconfigure and activate phases to ensure supply chain resilience.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Jinqiang Wang ◽  
Yaobin Lu ◽  
Si Fan ◽  
Peng Hu ◽  
Bin Wang

PurposeThe purpose of the research is to explore how small and medium enterprises (SMEs) in central China achieve intelligent transformation through the use of artificial intelligence (AI). Because of unequal resource allocation, constraints on the intelligent transformation of SMEs in central China are different from those in economically and technologically well-developed coastal provinces. Hence, the authors focus on SMEs in central China to identify drivers of and barriers to intelligent transformation.Design/methodology/approachThe interview data were collected from 66 SMEs across 20 industries in central China. To verify the validity of the data collection method, the authors used two methods to control for retrospective bias: multi-level informants and enterprises' AI project application materials (Wei and Clegg, 2020). The final data were validated without conflicts. Next, the authors cautiously followed a two-step approach recommended by Venkatesh et al. (2010) and used NVivo 11.0 to analyze the collected text data.FindingsSMEs in central China are enthusiastic about intelligent transformation while facing both internal and external pressures. SMEs need to pay attention to both internal (enterprise development needs, implementation cost, human resources and top management involvement) and external factors (external market pressure, convenience of AI technology and policy support) and their different impacts on intelligent transformation. However, constrained by limited resources, SMEs in central China have been forced to take a step-by-step intelligent transformation strategy based on their actual needs with the technological flexibility method in the short term.Originality/valueConsidering the large number of SMEs and their importance in promoting China's economic development and job creation (SME Bureau of MIIT, 2020), more research on SMEs with limited resources is needed. In the study, the authors confirmed that enterprises should handle “social responsibility” carefully because over-emphasizing it will hinder intelligent transformation. However, firms should pay attention to the role of executives in promoting intelligent transformation and make full use of policy support to access more resources.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Vartika Kapoor ◽  
Jaya Yadav ◽  
Lata Bajpai ◽  
Shalini Srivastava

PurposeThe present study examines the mediating role of teleworking and the moderating role of resilience in explaining the relationship between perceived stress and psychological well-being of working mothers in India. Conservation of resource theory (COR) is taken to support the present study.Design/methodology/approachThe data of 326 respondents has been collected from working mothers in various sectors of Delhi NCR region of India. Confirmatory factor analysis was used for construct validity, and SPSS Macro Process (Hayes) was used for testing the hypotheses.FindingsThe results of the study found an inverse association between perceived stress and psychological well-being. Teleworking acted as a partial mediator and resilience proved to be a significant moderator for teleworking-well-being relationship.Research limitations/implicationsThe study is based at Delhi NCR of India, and future studies may be based on a diverse population within the country to generalize the findings in different cultural and industrial contexts. The present work is based only on the psychological well-being of the working mothers, it can be extended to study the organizational stress for both the genders and other demographic variables.Practical implicationsThe study extends the research on perceived stress and teleworking by empirically testing the association between perceived stress and psychological well-being in the presence of teleworking as a mediating variable. The findings suggest some practical implications for HR managers and OD Practitioners. The organizations must develop a plan to support working mothers by providing flexible working hours and arranging online stress management programs for them.Originality/valueAlthough teleworking is studied previously, there is a scarcity of research examining the impact of teleworking on psychological well-being of working mothers in Asian context. It would help in understanding the process that how teleworking has been stressful for working mothers and also deliberate the role of resilience in the relationship between teleworking and psychological well-being due to perceived stress, as it seems a ray of hope in new normal work situations.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Manita Kusi ◽  
Fuqiang Zhao ◽  
Dinesh Sukamani

PurposeThe study aims to scrutinize the concomitant associations between corporate social responsibility (CSR), perceived organizational support (POS), green transformational leadership (GTL) and organizational performance (OP). This paper aims to explore the role of intervening variable to measure the strength on the relationship between CSR and OP.Design/methodology/approachThis research administered a survey through self-administered questionnaire among the staff-level employees of construction companies of Nepal. Fully filled 305 responses from the participants were analyzed using a structural equation model. The study used self-structured questionnaire as research tool and face-to-face meetings as data collection technique.FindingsThe research indicates that POS showed competitive partial mediation relation between CSR and OP. Besides, a novel exploration of the moderation effect of GTL displays a supportive role in harmonizing the CSR with organizational support to achieve better OP. This study enriches empirical evidence to understand the linkage between CSR and POS in staff-level employees in the construction area. Moreover, the research shed a light on GTL 's moderating influence on the mediated model of CSR, POS and OP.Research limitations/implicationsAlthough the results of the study add to the current knowledge base, several limitations highlight avenues for future research. Future studies can explore the relationship in other study areas with added evidence on a similar result with different analysis patterns and study sample. The research model studied in the context of Nepal creating evidence as a representation for the developing countries.Originality/valueThe intervening role of POS and GTL gives new insight for the research-based organization based social behavior and performance

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Atmadeep Mukherjee ◽  
Amaradri Mukherjee ◽  
Pramod Iyer

Purpose Food waste is a big problem where millions of pounds of produce are discarded every year because they are imperfect or unattractive. Despite the societal implications of selling unattractive produce, limited research has been directed toward understanding the effect of imperfect produce on consumers’ evaluations of the produce and retailer outcomes. This paper aims to investigate why consumers tend to discard imperfect produce and how retailer interventions (i.e. anthropomorphized signage and packaging) can alleviate these negative effects. Design/methodology/approach Three experiments were conducted to examine the postulations. Study 1 highlights the role of consumers’ embarrassment in the purchase decision of imperfect produce and retailer patronage intention. Studies 2 and 3 provide managerially relevant boundary conditions of anthropomorphic signage and opaque packaging. Findings Convergent results across three studies (n = 882) indicate that imperfect produce increases purchase embarrassment and reduces purchase intention and retailer patronage intention. Retailer interventions (i.e. anthropomorphic signage and opaque packaging) can allay this feeling of embarrassment and lead to an increased retailer patronage intention and higher service satisfaction. Practical implications This research provides guidance to retailers for effectively promoting imperfect produce. Social implications Retailers’ actions can benefit the well-being of farmers, suppliers, customers and the overall environment. Originality/value This research adds to the literature on unattractive produce by identifying new moderators, namely, anthropomorphic signages and opaque packaging. The research also shows that purchase embarrassment is a key process mechanism.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Carlos Flavián ◽  
Alfredo Pérez-Rueda ◽  
Daniel Belanche ◽  
Luis V. Casaló

PurposeThe automation of services is rapidly growing, led by sectors such as banking and financial investment. The growing number of investments managed by artificial intelligence (AI) suggests that this technology-based service will become increasingly popular. This study examines how customers' technology readiness and service awareness affect their intention to use analytical AI investment services.Design/methodology/approachThe automation of services is rapidly growing, led by sectors such as banking and financial investment. The growing number of investments managed by AI suggests that this technology-based service will become increasingly popular. This study examines how customers' technology readiness and service awareness affect their intention to use analytical AI investment services.FindingsThe results indicated that customers' technological optimism increases, and insecurity decreases, their intention to use robo-advisors. Surprisingly, feelings of technological discomfort positively influenced robo-advisor adoption. This interesting finding challenges previous insights into technology adoption and value co-creation as analytical AI puts customers into a very passive role and reduces barriers to technology adoption. The research also analyzes how consumers become aware of robo-advisors, and how this influences their acceptance.Originality/valueThis is the first study to analyze the role of customers' technology readiness in the adoption of analytical AI. The authors link the findings to previous technology adoption and automated services' literature and provide specific managerial implications and avenues for further research.

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