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Knowledge sharing has become an integral part of organizations’ business strategies, along with aiding organizations to grow and innovate in the market, and gain competitive advantage. This paper aims to concentrate on the role of tacit knowledge sharing in fostering innovation capability of an organization. Specifically, the study considers social capital (relational, cognitive and structural) as an important precursors to tacit knowledge sharing, which in turn, influences innovation capability of an organization. The study further discusses the role that knowledge reciprocation plays in successful tacit knowledge sharing. The relation between knowledge quality and innovation capability is also discussed in the paper.

The investigation started with a review of extant literature in the field of knowledge sharing and innovation to derive a set of constructs. A set of hypotheses was developed based on the identified constructs, which was subsequently validated through a primary survey based on a structured questionnaire on a sample size of 190 respondents from the Indian industrial domain. The survey responses were subsequently analysed using the statistical technique of structural equation modeling and conclusions were drawn from the findings. Additionally, careful attention was paid in eliminating the common method bias, which is often associated with a primary survey.

A set of six hypotheses were derived based on the identified constructs and were subsequently validated. While validating the hypotheses, it was observed that while knowledge reciprocity, relational social capital and cognitive social capital was positive associated with tacit knowledge sharing, structural social capital did not have a significant effect on the same. Additionally, it was also observed that both tacit knowledge sharing and the quality of knowledge were positively associated with innovation capability.

The present day business marked by intense competition requires firms to be more aware of their innovative capabilities. Effective sharing of knowledge or information can be deemed as a vital component in achieving this objective. Organizations that practice and nurture innovation activities can use the findings of the current study as a part of their knowledge management strategy. In addition to using the explicit knowledge, which are structured in nature, organizations can also start using tacit knowledge to harness their innovation potential – and the findings from the current study can act as a motivational tool for them to do so.

Although there is a growing body of literature concerning the role of knowledge management in innovation, there still a dearth in discussing the role of tacit knowledge sharing in exploiting the innovation capability of an organization. The main discussion of this paper brings together a set of important constructs that exhibits the significant role that tacit knowledge sharing plays in determining the innovation capability of an organization. Furthermore, it tries to marry the concepts of social capital and tacit knowledge sharing with innovation capability, therefore adding significantly to the body of literature in knowledge management as well as innovation.

The primary aim of this paper is to study a dark side of e-HRM concerning its parallel effect on human resource (HR) socialization and HR service delivery and the consequent impact of perceived HR effectiveness.

The current study started with an in-depth review of the extant literature in the field of e-HRM to derive a set of constructs. Based on the theoretical foundation of the identified constructs, the current study went on to derive a set of hypotheses, which was subsequently validated using the uses the quantitative technique of PLS-SEM. A primary survey, in the form of a structured questionnaire, was used as the source for data collection on a sample size of 276 from the Indian industrial domain. Careful attention was paid to eliminate the common method bias in the study.

The findings of this study show a simultaneous significant full mediation effect of both HR service delivery and HR socialization is the relationship between e-HRM and HR effectiveness. However, e-HRM has a strong and significant negative effect on HR socialization. Though HR socialization is positively related to HR effectiveness, the significantly reduced level of HR socialization as a consequence of adaption of e-HRM had negatively affected the perceived HR effectiveness.

Although the dark side of e-HRM has been recognized by academicians and practitioners alike, its implications have seldom been studied in the academic literature. The current study intends to shed some light on this important, but sparsely discussed topic. Further, this study makes significant and meaningful contributions in the literature of e-HRM by empirically studying together the positive and negative consequences of e-HRM and its effects on HR effectiveness. Several e-HRM scholars have discussed the implications of e-HRM adoption and highlighted the negative impacts of e-HRM, and traversing the same path, the current study advances the literature by empirically investigating the effect of e-HRM on the dehumanization of HR processes and practices.

The purpose of this paper is to explore the role of FinTech companies in SCF. The application of digital technology in supply chain activities has facilitated the evolution of supply chain finance (SCF) to a new level. However, how financial technology (FinTech) companies promote this evolution has not been thoroughly examined.

This research used the multiple-case study approach and social network analysis method to explore how FinTech companies influence SCF networks.

The results reveal that FinTech companies play the crucial role of a signaling intermediary by facilitating interactions among relevant parties, accelerating the flow of information and reducing information asymmetry arising from data smog. Moreover, FinTech companies make SCF information networks more equitable and promote the performance of SCF.

This study deepens the conversation at the nexus of signal theory and SCF and provides managerial implications for alleviating information asymmetry between borrowers and lenders to solve the difficulty and high-cost problems of obtaining financing of small- and medium-sized enterprises.

The purpose of this paper is to identify the two kinds of supply chain quality management (SCQM) capabilities: intra-SCQM and inter-SCQM, and explore the effect of intra- and inter-food SCQM on food safety and quality, and the effect of food SCQM on domestic and export performance through food certification and corporate reputation.

Secondary data on food selling or processing firms in Western China were collected to test all the hypotheses. The data were then analyzed using the statistical technique of stepwise regression and inference was drawn based on the result.

Through utilizing secondary data sources, it is found that intra-SCQM promotes sales in domestics market with mediating role of corporate reputation, while the realization of overseas performance depend both on intra- and inter-SCQM with mediating role of food certification.

The paper study on food supply chain quality problem, the suggested approaches can be easily realized by agro-food companies to achieve international competitiveness by implementing both intra- and inter-SCQM. Meanwhile to Chinese domestic companies, it is important to strengthen inter-SCQM and food certification in order to achieve competitive advantage.

Review of literature indicated that there is a dearth of open literature that discusses food safety from the perspective of inter- and intra-organizational management. Furthermore, it was also observed that there has been no study that has taken the safety signaling perspective. The current research tires to shed some light on this important, but sparely discussed issue.

This study aims to investigate the role of knowledge hiding (KH) on academic performance, using three antecedents – relatedness with peers, territoriality of knowledge and performance motivation. It also looked into the moderating role of academic self-efficacy upon student’s KH behavior and academic performance. The research was grounded on the theory of reasoned action.

Structural equation modeling (SEM) was used to analyze the five hypotheses. The data was collected through a primary survey based on a structured questionnaire with a sample size of 324 students from the Indian higher education institutions.

The study found that performance motivation and territoriality are positively associated with KH, which is further positively related to students’ academic performance. Sense of relatedness had no influence upon KH behavior, implying that proximity of social relationships does not predict KH behavior among students. Additionally, it was also observed that while evasive (a situation where the knowledge hider deliberately provides incorrect, partial or misleading information) and rationalized KH (a situation where the knowledge hider tries to provide a rational justification for not sharing the knowledge) had a significant influence on the academic performance of the students, the effect of “playing dumb” was not significant. The study did not reveal any moderating effect of academic self-efficacy on all three forms of KH and academic performance.

The findings of the study are expected to be valuable for instructors, administrative authorities and policymakers at the higher education level, to create a more conducive teaching and learning environment. Out of the three hiding strategies, students indulge more often in rationalized KH. Based on the outcomes of this research, management may focus toward the creation of an institutional environment conducive toward knowledge sharing interdependency among students.

One of the novel contributions of this study is that it analyzes Indian higher education, providing a developing country perspective, thereby contributing to the body of knowledge in knowledge management and hiding. The study also intends to understand the interplay of constructs such as KH, territoriality, sense of relatedness and academic performance, which have not been discussed previously within the higher education context, thus making the research work original. The study was done among the students and hence, brings in the academic perspective in the KH literature, which has seen limited research impetus.

This study aims to investigate the conditions for the financial feasibility of an incentive-based model for self-drop or crowdsourced drop of the product to be returned at designated drop boxes (thereby ensuring a contactless process).

Constraint-based non-linear mathematical modeling was done for cost differential with and without crowdsourcing. This was analyzed against returns on investment for the installed infrastructure. Scenarios were looked into from the linear, iso-elastic and logarithmic demand functions to identify the optimal incentive policy. The results were further evaluated using “willingness to return” for customer willingness for product returns via drop boxes.

Crowdsourcing is viable when product returns are no more than 15%–20% of the overall products, with a logistics cost differential of 15%–25%. These were only viable when the product return incentive was within the range of 15%–20% of the product cost, as well as the penalty was in the range of 25 to 40% for wrong returns.

The findings are expected to aid the organizations in successfully designing product return policies while adhering to the post-COVID-19 norms, including contactless transactions and social distancing.

The study provides a look into the viability sensitivity of effective gains/profitability against the required level of service for returns, wrong returns, penalties and incentives for crowdsourcing in a developing country like India.

This study aims to explore supply chain disruptions during the COVID-19 pandemic in the small and medium enterprise (SME) sector in Oman. This study analyzes the impact on selected supply chain drivers – facilities, inventory, transportation and sourcing. It further intends to explore whether the supply chain challenges faced by the SME sector in Oman impact their overall performance.

This study follows the quantitative technique of structural equation modeling to examine the proposed hypotheses. Data were collected electronically from SME managers/owners/entrepreneurs. All items were adopted and measured using a five-point Likert scale. One hundred and four complete and usable responses were received and considered.

The data was analyzed using SPSS and PLS statistical software. The model has been supported empirically, and the results showed a significant relationship between supply chain drivers and SMEs’ overall performance in Oman, except for supply chain inventory. The results have demonstrated that the COVID-19 pandemic has affected the SMEs’ supply chain drivers in Oman and, consequently, their overall performance.

The results of this research can drive the development and implementation of a supply chain management strategy. This research will help policymakers induce the performance of SMEs affected by the COVID-19 pandemic. It would further enhance strategic sourcing and supplier performance considering the developed practices associated with the resource-based view.

The originality of the current study lies in its ability to empirically test two models within the Omani SMEs context while considering the supply chain drivers as a single variable or dividing it into four separate independent variables. This study would provide a preview for scholars for such empirical investigation and serve as a reference for policymakers and practitioners to maintain a management system of crises that may protect the SME supply chain drivers.

The discussion at the conference room in Blue Vector office was vibrant. None of the group members was able to come up to an answer that was consensus in nature about the route that the company would take and the capabilities that they had. The simplest questions asked in the conference room was ‘how would the company be able to take the business forward?’ There were too many options for developing new products and services, but which would be the best for which industry? Which option would make the employees enjoy their work more, while giving them more business and reputation, as well as making them contemporary to the clients? This was the debate which sparked off at 5 p.m. and continued till midnight. The product and services of the company had received huge appreciation globally but Blue Vector seemed to be more ambitious than their competitors. With a registered company in 2017, a strong team and advisors, Piyush kept on harping on the same questions: What's next for us? Are we ready for it?

The purpose of this paper is to examine the effect of small and medium enterprises (SMEs)’ supply chain network on influencing credit quality, or more specifically, whether bridging tie (structural network) or strong tie (relational network) of SMEs in the supply chain can improve the availability of equity and debt capital through information sharing.

A survey was conducted in manufacturing industry in China and 208 valid questionnaires were used to test all the hypotheses. The data were then analyzed by employing partial least squares path modeling.

The results suggest that both strong tie and bridging tie of SMEs can lead to a positive effect on information sharing in supply chain, which can further enhance the credit quality for SMEs. However, without information sharing, the strong tie has not significant influence on SMEs’ credit quality, while bridging tie can directly impact on credit quality.

Despite their crucial role in sustaining national economies, SMEs are beset by the critical constraint of risk-free financing. Based on a survey, this research finds that the credit quality of SMEs is affected by two important factors: one concerns information sharing in supply chain and the other relates to the attributes of SMEs’ supply chain network. This study implies that a SME may have a financing advantage for better embedding in the supply chain network, but different effects will be experienced according to constraints associated with information asymmetry in the supply chain.