Examining the dark side of human resource analytics: an empirical investigation using the privacy calculus approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sheshadri Chatterjee ◽  
Ranjan Chaudhuri ◽  
Demetris Vrontis ◽  
Evangelia Siachou
Keyword(s):  
Theoretical Model ◽  
Human Resource ◽  
Partial Least Square ◽  
Dark Side ◽  
Equation Modeling ◽  
Negative Consequences ◽  
Content Type ◽  
Employee Privacy ◽  
Proposed Model ◽  
Privacy Calculus

PurposeThe purpose of this study is to explore the negative consequences of human resource analytics applications using the privacy calculus approach.Design/methodology/approachBy using the existing literature and privacy calculus theory, a theoretical model has been developed. This model helps to examine the benefits and risks associated with HR analytics applications. The theoretical model was validated using the partial least square structural equation modeling (PLS-SEM) technique with 315 respondents from different organizations.FindingsHR analytics provides multiple benefits to employees and organizations. But employee privacy may be compromised due to unauthorized access to employee data. There are also security concerns about the uncontrolled use of these applications. Tracking employees without their consent increases the risk. The study suggests that appropriate regulation is necessary for using HR analytics.Research limitations/implicationsThis study is based on cross-sectional data from a specific region. A longitudinal study would have provided more comprehensive results. This study considers five predictors, including other boundary conditions that could enhance the model’s explanative power. Also, data from other countries could improve the proposed model.Practical implicationsThe proposed model is useful for HR practitioners and other policymakers in organizations. Appropriate regulations are important for HR analytics applications. The study also highlights various employee privacy and security-related issues emerging from HR analytics applications. The study also discusses the role of leadership support for the appropriate usage of HR analytics.Originality/valueOnly a few research studies have explored the issues of HR analytics and its consequences. The proposed theoretical model is the first to consider the negative consequence of HR analytics through privacy calculus theory. In this perspective, the research is considered to be novel.

Productivity or illusion? Assessing employees' behavior in an employability paradox

2020 ◽  
Vol 42 (6) ◽  
pp. 1271-1289 ◽  
Author(s):  
Hassan Imam ◽  
Maria José Chambel
Keyword(s):  
Organizational Citizenship Behavior ◽  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Dark Side ◽  
Equation Modeling ◽  
Data Set ◽  
Content Type ◽  
Perceived Employability ◽  
Employee Relationship

PurposeEmployability has been studied in different disciplines (e.g. occupational health and career) and has been seen as a personal resource with overall positive outcomes. The present research investigates the behavioral implications of (perceived) employability and responds to the recent call of research that perceived employability could have not only positive but also negative behavioral implications. Furthermore, this study aims to reduce the asymmetry of data set and replication of existing results in non-Western economies.Design/methodology/approachMultinationals were taken as context to test the hypotheses, and a sample of 230 white-collar employees was drawn from fast-moving consumer goods companies. Partial least square–structural equation modeling through SmartPLS was used to analyze the data.FindingsIn light of social exchange theory, the present research identified the dark side of employability, which may impair the employer–employee relationship. Perceived employability did not relate significantly with in-role performance, nor did it correlate with organizational citizenship behavior, that is, a discretionary behavior promotes the efficient and effective functioning. However, perceived employability had a positive significant relationship with OCBI, that is, helping supervisors and coworkers with heavy workloads, as well as with counterproductive behaviors.Practical implicationsEmployable workers have always been considered key players and an asset for organizations due to their high productivity skills. A balanced employer–employee relationship creates a mutual win; therefore, a carefully drafted human resources policy may help organizations to fulfill the needs of employable workers and reap optimal benefits in terms of productivity. Behavioral training to supervisors/managers may help to assertively deal with employees' negative behavior without further escalation.Originality/valueThe present study suggests a paradoxical perspective in employability – a behavior debate, which is in an initial phase where it is difficult to determine whether employable workers are productive to the organizations or not.

Does size matter? An investigation into the role of virtual team size in IT service provisioning

2016 ◽  
Vol 116 (9) ◽  
pp. 1967-1986 ◽  
Author(s):  
Hugo Martinelli Watanuki ◽  
Renato de Oliveira Moraes
Keyword(s):  
Theoretical Model ◽  
Team Performance ◽  
Group Processes ◽  
Virtual Team ◽  
Partial Least Square ◽  
Equation Modeling ◽  
Service Provisioning ◽  
Team Size ◽  
Content Type ◽  
It Service

Purpose The purpose of this paper is to investigate the potential influence of virtual team size on team performance by examining group processes in the context of information technology (IT) service provisioning. This paper proposes a theoretical model of the relationships and presents an empirical study to verify the model. Design/methodology/approach Utilizing a survey questionnaire as the data collection instrument, this study focuses on IT service provisioning professionals who are actively engaged in virtual work contexts to test the relationships proposed by the theoretical model. A consistent version of the partial least square structural equation modeling (PLS-SEM) approach is used to assess the proposed hypotheses. Findings Although the statistical analyses did not provide support for the hypothesized effects of team size on virtual team performance, the results provide novel insights that may help teams overcome the functioning challenges that they face, as reported in the previous literature on virtual team size. In addition, the results highlight the importance of specific group processes for obtaining superior team performance. Originality/value Currently, virtual teams are a reality in several organizations, especially in the IT service provisioning industry. However, despite its importance, the literature suggests that virtual team size has not yet been fully explored as a possible means of enhancing group collaboration in such contexts. This paper attempts to provide an empirical contribution to this field using the latest developments in PLS-SEM.

Trust, knowledge sharing and organizational commitment in SMEs

2019 ◽  
Vol 48 (6) ◽  
pp. 1449-1468 ◽  
Author(s):  
Carla Curado ◽  
Sílvia Vieira
Keyword(s):  
Organizational Commitment ◽  
Knowledge Sharing ◽  
Human Resource Development ◽  
Human Resource ◽  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Content Type

Purpose The purpose of this paper is to extend the knowledge on the underlying relation between trust, knowledge sharing (KS) and organizational commitment (OC) in small- and medium-sized enterprises (SMEs), by testing the mediator role of KS between trust and OC dimensions. Design/methodology/approach The paper addresses a sample of 582 top exporting Portuguese SMEs and it tests an original model using structural equation modeling following a partial least square approach. Findings Results show that trust positively and significantly influences KS and affective and normative OCs. KS partially mediates the relation between trust and affective OC. Research limitations/implications This study contributes to both the knowledge management and human resource development literatures, showing the relationship between variables from both bodies of literature. Some limitations apply, the study uses cross-sectional data that limit the conclusions about causality and some restrictions on the generalization of the results also apply due to the used sample. Practical implications Results show the importance of encouraging a trustful environment in SMEs on behalf of KS and OC dimensions. Human resource managers could profit from stimulating KS among employees that results in affective OC. Originality/value Findings show the relevancy of trust in SMEs and the role of KS that contributes to OC.

Modeling the robotics implementation barriers for construction projects in developing countries

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ayodeji Emmanuel Oke ◽  
Ahmed Farouk Kineber ◽  
Ibraheem Albukhari ◽  
Adeyemi James Dada
Keyword(s):  
Structural Equation ◽  
Construction Projects ◽  
Research Work ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Implementation Barriers ◽  
Content Type ◽  
Proposed Model ◽  
Solid Foundation

PurposeThe purpose of this paper is to evaluate the barriers militating against the adoption of robotics in the construction industry.Design/methodology/approachRobotics implementation barriers were obtained from the previous studies and then through questionnaire survey construction stakeholders in Nigeria evaluate these barriers. Consequently, these barriers were examined via the exploratory factor analysis (EFA) technique. Furthermore, a model of these barriers was implemented by means of a partial least square structural equation modeling (PLS-SEM).FindingsThe EFA results showed that these barriers could be categorized into two: cost and technology. Results obtained from the proposed model showed that platform tools were crucial tools for implementing cloud computing.Originality/valueThe novelty of this research work will be provided a solid foundation for critically assessing and appreciating the different barriers affecting the adoption of robotics.

Relationship closeness paradox: contingency analysis in B2B sales

2020 ◽  
Vol 35 (6) ◽  
pp. 971-982 ◽  
Author(s):  
Yonggui Wang ◽  
Daniel Peter Hampson ◽  
Myat Su Han
Keyword(s):  
Social Exchange ◽  
Social Exchange Theory ◽  
Sales Performance ◽  
Dark Side ◽  
Negative Consequences ◽  
Contingency Analysis ◽  
Content Type ◽  
Market Expansion ◽  
Relationship Closeness ◽  
Business Customers

Purpose This study aims to examine the positive and negative consequences of relationship closeness between salespersons and their business customers in a B2B sales context: sales performance and salesperson passive opportunism. Design/methodology/approach Drawing on the social exchange theory, the authors develop a conceptual model of positive and negative consequences of relationship closeness. The authors empirically test the model using matched survey data from 269 salesperson-sales supervisor dyads and individual sales performance ratings from one of the largest distribution and market expansion companies in Myanmar. Findings Results provide evidence of positive (i.e. sales performance) and negative (i.e. salesperson passive opportunism) consequences of salesperson’s perceived relationship closeness. These relationships are, however, contingent on organization-level and employee-level factors. High extent of supervision enhances the effects of salesperson’s perceived relationship closeness on sales performance but attenuates its influence on salesperson passive opportunism. The effect of salesperson’s perceived relationship closeness on salesperson’s passive opportunism is stronger for salespersons with a promotion (vs prevention) focus. Research limitations/implications The results offer guidelines to firms seeking to optimize the efficacy of close relationships between their salespersons and customers. For example, higher levels of supervision could increase the likelihood of positive outcomes of relationship closeness while minimizing its negative consequences. Originality/value To the best of the authors’ knowledge, this study is the first to demonstrate not only the benefits of relationship closeness between salespersons and customers but also its dark side: the relationship closeness paradox.

The effect of high-involvement human resource management practices on supply chain integration

2015 ◽  
Vol 45 (8) ◽  
pp. 716-746 ◽  
Author(s):  
Baofeng Huo ◽  
Zhaojun Han ◽  
Haozhe Chen ◽  
Xiande Zhao
Keyword(s):  
Supply Chain ◽  
Resource Management ◽  
Human Resource Management ◽  
Human Resource ◽  
Estimation Method ◽  
Supply Chain Integration ◽  
Equation Modeling ◽  
High Involvement ◽  
Content Type ◽  
Hrm Practices

Purpose – Taking an interdisciplinary approach, the purpose of this paper is to combine concepts from human resource management (HRM) and supply chain management (SCM) fields and explore the effects of high-involvement HRM practices on supply chain integration (SCI). Design/methodology/approach – Using empirical survey data collected from ten countries, the authors examine the specific effects of three dimensions of high-involvement HRM practices – employee skills, incentives and participation – on three types of SCI – internal integration, supplier and customer integration. The authors use structural equation modeling and the maximum-likelihood estimation method to test the proposed relationships. Findings – The results confirm the overall relevancy of HRM to SCI. However, several proposed links are not supported by the data collected. Originality/value – This study makes both theoretical and managerial contributions by empirically examining the interface between HRM and SCI. More specifically, it examines the effects of different high-involvement HRM practices on different types of SCI. The findings will not only help researchers to better understand the interface, but will also guide managers in adjusting HRM practices to achieve desired operational goals.

Dark side of instant messaging: an empirical investigation from technology and society perspective

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sheshadri Chatterjee ◽  
Ranjan Chaudhuri ◽  
Demetris Vrontis
Keyword(s):  
Instant Messaging ◽  
Dark Side ◽  
Survey Method ◽  
Negative Consequences ◽  
Common People ◽  
Cross Sectional ◽  
Content Type ◽  
The Common ◽  
Society Perspective ◽  
Unique Study

PurposeThe purpose of this study is to examine the dark side of instant messaging from the technological and societal perspectives.Design/methodology/approachWith the help of literature review and different theories, a model has been developed conceptually. Later the model has been validated using statistical method. The authors have used 304 responses from the survey method, and this sample has been used to statistically validate the conceptual model.FindingsThis paper has been able to explicitly investigate and identify how different instant messaging platforms such as WhatsApp, WeChat in the form of electronic word of mouth (e-WOM) are contributing toward increase of mob lynching cases. The paper also highlights the important to have effective and enforceable regulation to regulate instant messaging services to the citizens.Research limitations/implicationsThe findings cannot be generalized as the data is collected from India only. Moreover, the study is cross-sectional in nature. To get the comprehensive results, a longitudinal study needs to be conducted. This study considered seven constructs with one moderator. Having more predictors with other boundary conditions might have increased the explanative power of the model.Practical implicationsInstant messaging platforms such as WhatsApp, WeChat and so on are disseminating quick unverified information to the common people. This information sometimes is disseminated in inappropriate and exaggerated forms. This makes the instant messaging (WhatsApp) users' sentiment readily heated in some cases. They take such an action as mob lynching. This study determines the predictors of mob lynching along with the moderator impact of instant messaging in the society.Originality/valueThere are only a few studies those have explored the dark side of instant messaging. The proposed theoretical model is a unique model, which shows the predictors of mob lynching along with the negative consequences of the instant messaging (WhatsApp) in the society. From this perspective, this study can be considered as a unique study.

Privacy helplessness on social media: its constituents, antecedents and consequences

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hichang Cho
Keyword(s):  
Theoretical Model ◽  
Structural Equation ◽  
Factor Model ◽  
Measurement Model ◽  
Equation Modeling ◽  
Confirmatory Factor Analyses ◽  
Content Type ◽  
Internet Users ◽  
The Usa ◽  
Antecedents And Consequences

PurposeMany internet users exhibit signs of privacy helplessness and entirely give up online privacy management. However, we know little about what privacy helplessness is, when users are likely to experience it and its implications for privacy behavior. The objectives of this study were twofold: (a) the conceptual explication of privacy helplessness as a novel construct in privacy research and (b) the development of a theoretical model that specifies the antecedents and consequences of privacy helplessness.Design/methodology/approachA research model of privacy helplessness that contains three subcomponents of privacy helplessness, five antecedents and one outcome was developed. The model was empirically examined based on survey data collected from 589 Facebook users in the USA.FindingsThe results of exploratory and confirmatory factor analyses showed that privacy helplessness is adequately assessed by a three-factor model with affective, cognitive and motivational components. The results of structural equation modeling indicated that these three aspects of privacy helplessness are uniquely predicted by five theoretical factors: (a) prior experience of privacy risks, (b) personal mastery, (c) perceived costs of adaptive privacy actions, (d) perceived rewards of privacy inactions and (e) perceived vulnerability. Furthermore, it was found that helplessness as motivational deficits (and cognitive helplessness via this) impedes adaptive privacy actions, while cognitive helplessness promotes adaptive privacy actions when they do not result in motivational deficits.Originality/valueThis study pioneers investigation in understanding key constituents, attributes and processes underlying privacy helplessness. First, the present study developed the first theory-derived, successively validated measurement model of privacy helplessness. Second, this research proposed a theoretical model of privacy helplessness, specifying antecedents and consequences of privacy helplessness.

Malaysian SMEs m-commerce adoption: TAM 3, UTAUT 2 and TOE approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Maruf Gbadebo Salimon ◽  
Olanrewaju Kareem ◽  
Sany Sanuri Mohd Mokhtar ◽  
Olayemi Abdullateef Aliyu ◽  
Jibril Adewale Bamgbade ◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Sample Size ◽  
Online Survey ◽  
Computer Anxiety ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Universal Theory ◽  
Content Type ◽  
Environment Model

Purpose The purpose of this study is to examine the factors that influence Malaysian Small and Medium Enterprises (SMEs) to adopt mobile commerce (m-commerce) by integrating the constructs of Technology Acceptance Model 3 (TAM 3), Universal Theory of Acceptance and Use of Technology 2 and Technology-Organization-Environment model. Though numerous m-commerce adoption (MCA) studies have been conducted, lesser attention is paid to how hedonic motivation (HM) can influence organizational users such as SMEs. This study bridges the gap by integrating the three models to provide a new lens to guide SMEs. Design/methodology/approach To examine the factors that influence the adoption of m-commerce, the researchers collected data from SMEs in Malaysia using an online survey. The sample size of the participants was determined through the available list provided by SME Corp Malaysia. The researchers also used Krejcie and Morgan’s sample size and G * Power techniques to determine that the sample size was appropriate. The data collected were analyzed using partial least square-structural equation modeling. Findings The findings of this study reveal that technological factors (computer self-efficacy [CSE], result demonstrability [RD] and computer anxiety [CA]) positively and significantly influence MCA. Likewise, the organizational/environmental factors (m-commerce knowledge, pressure from trading partners and pressure from competitors) positively and significantly influence MCA. The moderating influence of HM was also achieved on the relationship between CSE and RD. However, the proposed hedonic moderating relationship between CA and the adoption of m-commerce is not significant. Research limitations/implications This study integrates three models to explain the adoption of m-commerce among SMEs in Malaysia and tested the moderating influence of HM. The results obtained better explain the decision by the SMEs to use m-commerce. Originality/value The study critically considered how m-commerce can be adopted by SMEs in Malaysia, which previous studies have largely ignored. Considering this, the study, therefore, advances a new relationship by integrating Technology-organization-environment model with TAM 3 and the moderating influence of HM to explain MCA among SMEs. This paper is one of the few research studies to test the moderating influence of HM in this regard.

From managing customers to joint venturing with customers: co-creating service value in the digital age

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Christine Falkenreck ◽  
Ralf Wagner
Keyword(s):  
Perceived Risk ◽  
Structural Equation ◽  
Business Models ◽  
Joint Venture ◽  
Digital Age ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Data Set ◽  
Content Type

Purpose Until today, scholars claim that the phenomenon of “co-creation” of value in an “interacted” economy and in the context of positive actor-to-actor relationships has not been adequately explored. This study aims to first to identify and separate the accessible values of internet of things (IoT)-based business models for business-to-business (B2B) and business-to-government (B2G) customer groups. It quantifies the drivers to successfully implement disruptive business models. Design/methodology/approach Data were gathered from 292 customers in Western Europe. The conceptual framework was tested using partial least square structural equation modeling. Findings Managing disruptions in the digital age is closely related to the fact that the existing trust in buyer-seller relationships is not enough to accept IoT projects. A company’s digitalization capabilities, satisfaction with the existing relationship and trust in the IoT credibility of the manufacturer drives the perceived value of IoT-based business models in B2B settings. Contrastingly, in B2G settings, money is less important. Research limitations/implications Research refers to one business field, the data set is of European origin only. Findings indicate that the drivers to engage in IoT-related projects differ significantly between the customer groups and therefore require different marketing management strategies. Saving time today is more important to B2G buyers than saving money. Practical implications The disparate nature of B2B and B2G buyers indicates that market segmentation and targeted marketing must be considered before joint-venturing in IoT business models. To joint venture supply chain partners co-creating value in the context of IoT-related business models, relationship management should be focused with buyers on the same footing, as active players and co-developers of a personalized experience in digital service projects. Originality/value Diverging from established studies focusing on the relationship within a network of actors, this study defines disruptive business models and identifies its drivers in B2B and B2G relationships. This study proposes joint venturing with B2B and B2G customers to overcome the perceived risk of these IoT-related business models. Including customers in platforms and networks may lead to the co-creation of value in joint IoT projects.

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