Milou Habraken and Tanya Bondarouk
This chapter aims to encourage and guide smart industry HRM-related research by addressing upcoming challenges developed using a job design lens.
Abstract
Purpose
This chapter aims to encourage and guide smart industry HRM-related research by addressing upcoming challenges developed using a job design lens.
Methodology/approach
The challenges are constructed based on a developed overview of the existing body of work related to job design and a description of smart industry.
Research implications
The challenges are meant as an indication of the issues that arise within job design due to smart industry and, in so doing, suggest directions for future research in this specific field. Additionally, through laying out challenges for this particular example, the chapter encourages scholars to consider the possible impact of smart industry within other HRM areas.
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Xiaoyu Chen, Alton Y.K. Chua and L.G. Pee
This study explores identity signaling used by an emerging class of knowledge celebrities in China – Knowledge Wanghong – who sell knowledge products on online platforms. Because…
Abstract
Purpose
This study explores identity signaling used by an emerging class of knowledge celebrities in China – Knowledge Wanghong – who sell knowledge products on online platforms. Because identity signaling may involve constructing unique online identities and controlling over product-related and seller-related characteristics, the purpose of this study is two-fold: (1) to uncover different online identities of knowledge celebrities; and (2) to examine the extent to which the online identity type is associated with their product-related characteristics, seller-related characteristics and sales performance.
Design/methodology/approach
A unique data set was collected from a Chinese leading pay-for-knowledge platform – Zhihu – which featured the online profiles of tens of thousands of knowledge celebrities. Online identity types were derived from their self-edited content using Latent Dirichlet Allocation (LDA) topic modeling. Thereafter, their product-related characteristics, seller-related characteristics and respective sales performance were analyzed across different identity types using analysis of variance (ANOVA) and multiple-group linear regression.
Findings
Knowledge celebrities are clustered into four distinctive online identities: Mentor, Broker, Storyteller and Geek. Product-related characteristics, sell-related characteristics and sales performance varied across four different identities. Additionally, the online identity type moderated the relationships among their product-related characteristics, sell-related characteristics and sales performance.
Originality/value
As emerging-phenomenon-based research, this study extends related literature by using the notion of identity signaling to analyze a peculiar group of online celebrities who are setting an important trend in the pay-for-knowledge model in China.
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In practice, showing the community’s need for knowledge (e.g. listing requests for new articles) is used to drive knowledge sharing in Wikipedia. Yet, theoretical understanding of…
Abstract
Purpose
In practice, showing the community’s need for knowledge (e.g. listing requests for new articles) is used to drive knowledge sharing in Wikipedia. Yet, theoretical understanding of how it influences one’s knowledge sharing is still lacking. The aim of this study is to develop a model of the influence and show that one takes others’ utility into account (utility interdependence).
Design/methodology/approach
The proposed model was tested with data collected in a survey of 323 Wikipedia users.
Findings
Others’ knowledge need affects one’s perceived forgone benefit of free riding (i.e. a cost of knowledge sharing) and, thereby, increases the intention to share knowledge.
Originality/value
This study contributes to research by identifying utility interdependence in knowledge sharing. For practice, the findings provide empirical support for the general belief that showing others’ knowledge need is useful for promoting sharing.
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Zill-e- Huma, Saddam Hussain, Ramayah Thurasamy and Muhammad Imran Malik
Cyberloafing is the personal use of internet while at work. The purpose of this paper is to identify the factors affecting cyberloafing between public and private sector…
Abstract
Purpose
Cyberloafing is the personal use of internet while at work. The purpose of this paper is to identify the factors affecting cyberloafing between public and private sector organizations.
Design/methodology/approach
This study uses the multiple motivational factors with the help of a theoretical paradigm, renowned as theory of interpersonal behavior (TIB). Data were collected through questionnaire to investigate the different behavioral factors between the public and private sector organizations. PLS path modeling and PLS-MGA are used to access the results on SMARTPLS 2.0 software.
Findings
Results show that the three factors of habit, intention, and social influences taken from the TIB model are important and have a higher path coefficient in a public sector organization setting. The factors of affect, facilitating condition and perceived consequences from TIB are greater in a private sector organization and have a higher path coefficient. By contrast, in multiple group analysis, results show that some factors are more predictive of cyberloafing behavior in a public sector organization, whereas other factors are more predictive for a private sector organization.
Practical implications
The findings of the current research are beneficial for both organizations and contribute toward policy-making decisions. These results help the managers of public and private sector organizations to decide how to control cyberloafing behavior by focusing on the important factors that lead to it.
Originality/value
This study shows strong and significant differences between the two types of organizations in terms of path coefficient. This implies that cyberloafing factors have different impacts on different organizations. The study fills an important gap in comparing public and private sector organizations with respect to cyberloafing behavior and clarifying which factors are more effective in predicting cyberloafing behavior according to type of organization. The paper is of great value for both kinds of organizations that face cyberloafing behavior issues.
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L.G. Pee and Jinyoung Min
Various individual and environmental factors influencing employees’ online knowledge sharing have been identified, but the understanding regarding these has been mostly limited…
Abstract
Purpose
Various individual and environmental factors influencing employees’ online knowledge sharing have been identified, but the understanding regarding these has been mostly limited because of their independent and direct effects our understanding has been mostly limited to their independent and direct effects. This study aims to propose that the fit between employees and their environments (PE fit) matters. A model explaining how PE fit and misfit affect employees’ knowledge sharing behavior through influencing their affective commitment is developed and assessed.
Design/methodology/approach
The proposed model was assessed with data collected in a survey of 218 employees.
Findings
Results indicate that PE fit in the norm of collaboration, innovativeness and skill variety leads to the development of stronger affective commitment and, therefore, more knowledge sharing behavior than when they are in shortfall or excess in the environment (i.e. PE misfit).
Originality/value
The findings indicate a new direction for knowledge sharing research that focuses on PE fit and suggest that knowledge sharing can be improved more proactively in practice by assessing PE fit during recruitment.
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Noel Scott, Brent Moyle, Ana Cláudia Campos, Liubov Skavronskaya and Biqiang Liu
Hanudin Amin, Abdul-Rahim Abdul-Rahman and Dzuljastri Abdul-Razak
The purpose of this paper is to understand consumers’ willingness to choose Islamic mortgage products as a way to help Islamic banks tap into the Islamic mortgage sector in…
Abstract
Purpose
The purpose of this paper is to understand consumers’ willingness to choose Islamic mortgage products as a way to help Islamic banks tap into the Islamic mortgage sector in Malaysia.
Design/methodology/approach
Using the Theory of Interpersonal Behaviour as a point of departure, this study proposes a framework that examines factors influencing consumers’ willingness to choose Islamic mortgage products. A total of 282 usable surveys are obtained from customers of Islamic banks and the data were analysed using partial least squares.
Findings
The results indicate that affect, social factors, and facilitating conditions influence willingness to choose Islamic mortgages. Besides these factors, the added factors, namely, perceived risk and perceived financial benefit, significantly influence consumers’ willingness to choose Islamic mortgages.
Research limitations/implications
This study is confined to two public universities in Malaysia. Further testing of the proposed model across different population groups is necessary to determine the generalisability of this study’s findings. This study applies consumer factors such as affect, social factors, facilitating conditions, perceived risk and perceived financial benefit. Further testing on other factors is needed to expand the findings in this area.
Practical implications
The results could help bank managers make improved decisions about the factors which they need to effectively market Islamic mortgage products. This study provides insights and guidance for bank managers to manage Islamic mortgage products.
Originality/value
The main contribution of this paper is a proposed framework of consumers’ willingness to choose Islamic mortgage products which takes into account the key factors necessary to predict consumers’ demand.
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Junyeong Lee, Jinyoung Min, Chanhee Kwak, L.G. Pee and Heeseok Lee
An organization can be understood as a knowledge network in which teams send and receive knowledge. Many studies have explored knowledge sharing across teams but did not consider…
Abstract
Purpose
An organization can be understood as a knowledge network in which teams send and receive knowledge. Many studies have explored knowledge sharing across teams but did not consider the direction of knowledge flows (KF), specifically how the knowledge inflow (KIF) and knowledge outflow (KOF) can be induced and influence team activities differently. To fill this gap, this paper distinguishes between KIF and KOF, examines their antecedents and consequences and considers how KIF and KOF within a team moderate the relationship between antecedents and KF of a team.
Design/methodology/approach
This study used structural equation model analysis of a sample of 341 individuals within 73 teams from four companies.
Findings
The results suggest that IT support is essential because it influences both KIF and KOF. However, only KOF has a significant effect on team performance suggesting that ambidexterity is not always necessary. In promoting KOF, increasing task interdependency is also effective. The effect of IT support varies with the level of KIF diversity.
Originality/value
The findings emphasize the importance of distinguishing KOF from KIF in a team’s knowledge network under the theoretical lens of ambidexterity. Identifying how IT support influences KF and how these flows separately affect team performance can provide useful insights into managing and facilitating KF in an organization.
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Paulina Wojciechowska-Dzięcielak and Neal M. Ashkanasy
The question of how work motivation affects team members' tacit and explicit knowledge sharing has long puzzled organizational scholars. In this chapter, the quality of…
Abstract
Purpose
The question of how work motivation affects team members' tacit and explicit knowledge sharing has long puzzled organizational scholars. In this chapter, the quality of team–member exchange (TMX) is presented as one potential mechanism.
Approach
Key variables in the model are intrinsic and extrinsic work motivation, interactional and distributive organizational justice, tacit and explicit knowledge sharing, relationship-oriented and task-oriented TMX, organizational rules, organizational climate for trust. Separate models are developed for intrinsic versus tacit knowledge sharing.
Findings
While explicit knowledge sharing depends upon extrinsic factors such as extrinsic work motivation, task oriented TMX, distributive justice perceptions, and organizational rules, tacit knowledge sharing is dependent upon intrinsic factors such as intrinsic work motivation, relationship-oriented TMX, interactive justice perceptions, and perceptions of an organizational climate for trust.
Originality/Value
This is the first model to provide a useful framework that should enable scholars to research the factors underlying the relationships between individual employee motivation and both explicit and tacit organizational knowledge sharing.
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Paulo Botelho Pires and José Duarte Santos
Buying online has become a widespread and common activity for consumers, and, for many organizations, e-commerce has become a very profitable alternative to sell their products…
Abstract
Buying online has become a widespread and common activity for consumers, and, for many organizations, e-commerce has become a very profitable alternative to sell their products and services, also allowing them to leverage their strategy in new geographical markets immediately. Although the literature on the subject is comprehensive, there is a gap in identifying the holistic constructs that are the determinants of consumers' choice of an online store. This research resorts to an exploratory study, based on a nonsystematic literature review, seeking to identify these constructs. The results obtained allowed us to identify the following constructs: consumer behavior, customer experience, web content, catalog, terms and conditions, customer support, perceived value, trust, security and privacy, satisfaction, and loyalty. Customer experience, satisfaction, and loyalty constructs stand out from a strategic perspective.