scholarly journals Knowledge Sharing Enablers in Small Business Networks

2022 ◽  
Vol 18 (1) ◽  
pp. 0-0

In an increasingly knowledge-based global economy, social capital and knowledge sharing, particularly amongst small business, have become critical sources of competitive advantage, but how can such knowledge sharing be enabled? The objective of this research was to explore the effect of knowledge sharing enablers on knowledge sharing in female small business networks. This research addresses the call for research into the antecedents of social capital. Specifically, Trust, Social Identity, Social Media Usage and Shared Goals were included in the conceptual model for the study. Together these social capital enablers were found to be significant predictors of knowledge sharing behaviour although unique contributions varied. The research contributes to the growing body of literature on the dimensions of social capital and how they affect knowledge management, and is of use to practitioners involved in supporting female entrepreneurial networks.

2019 ◽  
Vol 10 (5) ◽  
pp. 1174-1195
Author(s):  
Yasser Maghsoudi Ganjeh ◽  
Naser Khani ◽  
Akbar Alem Tabriz

Purpose This paper aims to propose and test a research model that links social media usage with networking capabilities on the commercialization performance. Design/methodology/approach The target population of this study consisted of 530 managers and experts in knowledge-based firms in Science and Technology Parks of Isfahan (Iran), which were active in the electronics and electronic engineering, bio, renewable energy, nano and information and communication technologies. To determine the effects of the social media and networking capability on the commercialization performance in knowledge-based firms, this study collected the data through a questionnaire survey with knowledge-based firms and conducted statistical analysis. The unit of analysis is the entire firm. The random sampling method was applied in this study. This study mainly uses the validated existing scales of previous studies on Likert-type scales with response options ranging from 1 to 5. To increase the response rate and accuracy, the researchers in this study also conducted phone and e-mail survey. A total of 230 questionnaires were conducted to remove the questionnaires with inadequate or missing answers, and the final 220 cases were selected as valid samples. Findings First, this research confirmed that social media usage can positively improve commercialization performance. Second, this research confirmed the mediating role of the networking capability on the relationship between social media usage and commercialization performance. In fact, social media tools represent a potential vehicle to help firms create better relationships with partners and increase commercialization performance via these mechanisms. Originality/value This study contributes to the existing literature by integrating the domains of social media usage and business networks perspective. Social media has revolutionized the way firms interact with business partners. A salient characteristic of today’s business setting is that partners use social media to nurture and sustain their network relationships with others (Kim et al., 2016). Moreover, based on the dynamic capability theory and business networks perspective, the authors introduce the impression management capability as a networking capability dimension that has been neglected and mentioned only briefly.


2001 ◽  
Vol 20 (3) ◽  
pp. 209-222 ◽  
Author(s):  
Lucio Biggiero

Self-organization is a property of social systems, and its recognition can give a remarkable contribution to the theory of entrepreneurship and to the analysis of inter-organizational networks. While literature on the classification of inter-firm networks and on their (dis)advantages is relatively abundant, there is much less on the processes of their formation and development. Since the convenience of building inter-firm networks is often uncertain and ambiguous, it involves social-psychological aspects and is based on personal relationships. This is particularly true in the case of small business networks, where the small firm size makes firm networks coincide with entrepreneurial networks. This characteristic can be extended to industrial districts, which are systems emerging from the interplay between small business networks. Industrial districts are weakly hierarchical organizations, which present the typical dual nature of social systems: the systemic nature, which is manifested more at the unity level, considering the district as a whole, and the subjective behavior of its members, which can play a crucial role either in triggering the district or in its evolutionary patterns. Such a double nature becomes a powerful engine of knowledge creation/transfer when organizations are recursive and self-organizing, and when the emerging values promote cooperation and trust. These co-evolutionary, recursive and self-organizing aspects have been synthesized in Nonaka's concept of ‘ba’. The cases discussed here deal with recursive processes in the formation of entrepreneurial networks in the biomedical district and in the formation of the district itself, which are seen as partially self-organizing processes. In the perspective considering knowledge as embodied in human beings and created by their social interactions, this paper concerns self-organizing and knowledge-creating processes at district and network levels.


2022 ◽  
Vol 12 ◽  
Author(s):  
Xueyun Zeng ◽  
Xuening Xu ◽  
Yenchun Jim Wu

Application of artificial intelligence is accelerating the digital transformation of enterprises, and digital content optimization is crucial to take the users' attention in social media usage. The purpose of this work is to demonstrate how social media content reaches and impresses more users. Using a sample of 345 articles released by Chinese small and medium-sized enterprises (SMEs) on their official WeChat accounts, we employ the self-determination theory to analyze the effects of content optimization strategies on social media visibility. It is found that articles with enterprise-related information optimized for content related to users' psychological needs (heart-based content optimization, mind-based content optimization, and knowledge-based content optimization) achieved higher visibility than that of sheer enterprise-related information, whereas the enterprise-related information embedded with material incentive (benefits-based content optimization) brings lower visibility. The results confirm the positive effect of psychological needs on the diffusion of enterprise-related information, and provide guidance for SMEs to apply artificial intelligence technology to social media practice.


2016 ◽  
pp. 1921-1934
Author(s):  
Ahmad Vazehi Ashtiani ◽  
Sharmila Jayasingam

This conceptual paper proposes social capital as a possible moderator of the relationship between commonly identified knowledge sharing enablers in the literature and knowledge sharing (KS). A literature review was carried out to determine the contextual influence of the level of social capital within communities of practice (CoPs). Propositions were developed based on a review of past studies addressing KS enablers and KS. The literature review revealed that prior studies built on resource-based theory (RBT) and knowledge-based view of the firm (KBV) focused on organizational enablers of KS without any concern for the contextual influence such as the level of social capital of CoPs. Further analysis indicated that social capital could possibly moderate the impact of commonly identified KS enablers. These insights are presented as propositions in this conceptual paper. This paper addresses a gap in the area of KS. It questions the results of past studies and proposes the needs to consider the level of social capital when identifying appropriate KS enablers.


Information ◽  
2020 ◽  
Vol 11 (11) ◽  
pp. 515 ◽  
Author(s):  
Flora Poecze ◽  
Christine Strauss

The introduction of the Web 2.0 era and the associated emergence of social media platforms opened an interdisciplinary research domain, wherein a growing number of studies are focusing on the interrelationship of social media usage and perceived individual social capital. The primary aim of the present study is to introduce the existing measurement techniques of social capital in this domain, explore trends, and offer promising directions and implications for future research. Applying the method of a scoping review, a set of 80 systematically identified scientific publications were analyzed, categorized, grouped and discussed. Focus was placed on the employed viewpoints and measurement techniques necessary to tap into the possible consistencies and/or heterogeneity in this domain in terms of operationalization. The results reveal that multiple views and measurement techniques are present in this research area, which might raise a challenge in future synthesis approaches, especially in the case of future meta-analytical contributions.


2007 ◽  
Vol 3 (1) ◽  
pp. 29-48 ◽  
Author(s):  
Chay Yue Wah ◽  
Thomas Menkhoff ◽  
Benjamin Loh ◽  
Hans-Dieter Evers

Author(s):  
Chay Yue Wah

The study aims to understand the social and organizational factors that influence knowledge sharing. A model of knowledge management and knowledge sharing was developed inspired by the work of Nahapiet and Ghoshal. Data on KM processes and various social capital measures were collected from a sample of 262 members of a tertiary educational institution in Singapore. Rewards and incentives, openmindedness, and cost-benefit concerns of knowledge hoarding turned out to be the strongest predictors of knowledge sharing rather than prosocial motives or organizational care. Individuals who are highly competent in their work abilities are less likely to share what they know when they perceive that there are few rewards or when sharing is not recognized by the organization. The findings provide evidence for the importance of social capital as a lubricant of knowledge sharing and engaging performance management systems in knowledge-intensive organizations.


2019 ◽  
Vol 40 (5) ◽  
pp. 553-573
Author(s):  
Xiling Cui ◽  
Baofeng Huo ◽  
Yang Lei ◽  
Qiang Zhou

Purpose The purpose of this paper is to examine how team social media usage (SMU) affects two types of knowledge sharing (KS), namely, in-role and extra-role KS, and then individual job performance. The study also examines the mediating effects of two types of KS and the main and moderating effects of team performance norms on individual job performance. Design/methodology/approach This study applies the theory of communication visibility to develop a cross-level model and then validate it through a three-wave survey from 600 individuals in 120 teams. Hierarchical linear model is used to test the hypotheses. Findings The results suggest that team SMU improves team members’ in-role and extra-role KS, and thus enhances their individual job performance. The in-role and extra-role KS have partial mediating effects between team SMU and job performance. The results also show that team performance norms have a positive main effect on individual job performance, but negatively moderate the relationship between individual extra-role KS and job performance. Research limitations/implications This study contributes to the operations management literature by examining the effects of team SMU from a multilevel perspective. Practical implications The findings provide managers with ways to improve individual KS and job performance. Originality/value This study is one of the first to investigate the effects of team SMU on individual KS and job performance. It also identifies the two-sided effects of team performance norms.


Author(s):  
Hiep Cong Pham ◽  
Irfan Ulhaq ◽  
Minh Nguyen ◽  
Mathews Nkhoma

In a networked global economy, cyber security threats have accelerated at an enormous rate. The security infrastructure at organisational and national levels are often ineffective against these threats. As a result, academics have focused their research on information security risks and technical perspectives to enhance human-related security measures. To further extend this trend of research, this study examines the effects of three knowledge sharing methods on user security practices: security training, social media communication, and local security experts (non-IT staff). The study adopts a phenomenological method employing in-depth focus group interviews with 30 participants from eight organisations located in Ho Chi Minh city, Vietnam. The study expands on understanding factors contributing to self-efficacy and security practice through various knowledge sharing channels. Current methods of periodical training and broadcast emails were found to be less effective in encouraging participants to develop security self-efficacy and were often ignored. Security knowledge sharing through social media and local experts were identified as supplementary methods in maintaining employees’ security awareness. In particular, social media is suggested as a preferred channel for disseminating urgent security alerts and seeking peer advice. Local security experts are praised for providing timely and contextualised security advice where member trust is needed. This study suggests that provisions of contemporary channels for security information and knowledge sharing between organisations and employees can gain regular attention from employees, hence leading to more effective security practices.


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