Factors influencing members’ knowledge sharing and creative performance in coworking spaces

2020 ◽  
Vol 24 (9) ◽  
pp. 2327-2354
Author(s):  
Alexandra Rese ◽  
Cristopher Siegfried Kopplin ◽  
Caren Nielebock
Keyword(s):  
Knowledge Sharing ◽  
Structural Equation ◽  
Positive Impact ◽  
Creative Industries ◽  
Equation Modeling ◽  
Small Companies ◽  
Content Type ◽  
Factors Influencing ◽  
Theoretical Perspectives ◽  
Coworking Spaces

Purpose Coworking spaces (CWS) are a globally increasing phenomenon of new shared work environments used by freelancers, entrepreneurs and small companies that often work in information technology and creative industries. The purpose of this study is to examine coworkers’ knowledge sharing (KS), focusing on attitude, behavior and individual creativity. Several theoretical perspectives are deployed for factors influencing KS. Design/methodology/approach A research model is developed and tested, relying on a sample of 95 German coworkers using a structural equation modeling approach. Findings The attitude towards knowledge sharing and actual sharing behavior in CWS improve coworkers’ creativity. Behavior and attitude differ in positive impact depending on the level of collaboration orientation. Despite the presence of an agreeable atmosphere, lower collaborative orientation results in KS being rated lower. Practical implications Community commitment showed the highest positive impact on KS behavior. For community development, CWS will have to take differences in the KS behavior of their coworker client base into account to foster creativity. Originality/value The authors provide initial empirical insights into the relationship between KS and creativity in CWS. Core coworking values are shown not to form a uniform block but rather “collaboration” is acting as a discriminator.

scholarly journals How Can Apple Farmers Be Encouraged to Apply Information Technology? The Moderating Effect of Knowledge Sharing

2021 ◽  
Vol 13 (18) ◽  
pp. 10228
Author(s):  
Xue Chen ◽  
Ye Jin ◽  
Shiping Mao
Keyword(s):  
Information Technology ◽  
Knowledge Sharing ◽  
Structural Equation ◽  
Explicit Knowledge ◽  
Positive Impact ◽  
Moderating Effect ◽  
Equation Modeling ◽  
Actual Behavior ◽  
Technology Application ◽  
Factors Influencing

Information technology has become an increasingly powerful driving force in modern agriculture. In particular, its application is important for the sustainable development of the apple industry. However, to promote technology application effectively, a better understanding of the behavioral intention of apple farmers towards such information technology is needed. This study uses micro data from 226 Chinese apple growers and applies the theory of planned behavior. The factors influencing apple farmers’ intention to choose information technology, along with factors influencing the transformation of that intention into actual behavior, are investigated through structural equation modeling. The results show that farmers’ information technology attitudes and perceived behavioral control have a significant positive impact on their intention to choose information technology, and that intention has a significant positive impact on behavioral response. Additionally, both tacit and explicit knowledge sharing have a positive moderating effect on transforming the intention to choose information technology into actual behavior, and the higher the degree of knowledge sharing, the stronger its moderating effect. The results imply that to achieve industry sustainability, the government needs to improve its guidance and incentives for agricultural technology, as well as support the development of a strong knowledge-sharing system specifically for agricultural information technology.

Does employee willingness to take risks affect customer loyalty? A moderated mediation examination of innovative behaviors and decentralization

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohd Ahmad Al-Hawari ◽  
Shaker Bani-Melhem ◽  
Faridahwati Mohd. Shamsudin
Keyword(s):  
Personality Traits ◽  
Customer Loyalty ◽  
Structural Equation ◽  
Positive Impact ◽  
Equation Modeling ◽  
Frontline Employees ◽  
Content Type ◽  
Mediating Role ◽  
Hotel Managers ◽  
Innovative Behaviors

Purpose This study aims to build on the trait activation and interactionist perspective theories to investigate the effect of frontline employees’ (FLEs) willingness to take risks on hotel guest loyalty by assessing the mediating role of their innovative behaviors. It also examines whether decentralization strengthens the positive impact of willingness to take risks on innovative behavior and, subsequently, customer loyalty. Design/methodology/approach The authors collected multilevel data from various sources – hotel FLEs (n = 183), hotel operation managers (n = 46) and hotel guests/customers (n = 266) – from five-star hotels operating in Dubai. Structural equation modeling and PROCESS macro (version 3.5) were used to analyze the data. Findings The findings showed that willingness to take risks indirectly (via innovative behaviors) affects guest/customer loyalty positively. This effect is strengthened when the hotel is decentralized. Practical implications This study provides insight into how hotel managers can foster customer loyalty. More specifically, they can do so by establishing employees’ innovative behaviors triggered by employees’ positive personality traits and by giving employees more autonomy. Originality/value The present study addresses recent calls to investigate the positive impact of FLEs’ personality traits, attitudes and behaviors on customer loyalty.

Building trust by signaling trustworthiness in service retail

2014 ◽  
Vol 28 (5) ◽  
pp. 361-373 ◽  
Author(s):  
Husni Kharouf ◽  
Donald J. Lund ◽  
Harjit Sekhon
Keyword(s):  
Customer Loyalty ◽  
Structural Equation ◽  
Positive Impact ◽  
Past Research ◽  
Customer Relationships ◽  
Mediating Effect ◽  
Equation Modeling ◽  
Content Type ◽  
Survey Responses ◽  
Customer Trust

Purpose – The purpose of this paper is to investigate the role of retailer trustworthiness in driving customer trust and the subsequent impact on loyalty. The authors position trustworthiness as a mediator in the link between retail strategies and the development of trust. They model customer loyalty to the service retailer as a function of the trust created through trustworthy perceptions. Design/methodology/approach – The authors validate their model using 420 survey responses from customers in a service retail setting. Nine research hypotheses were tested using structural equation modeling. Alternate models are estimated, and the results provide support for the theory-based trustworthiness mediation model. Findings – Trustworthy behaviors first build trustworthiness, which then translates into customer trust and ultimately has a positive impact on both behavioral and attitudinal loyalty. Research limitations/implications – The research highlights the importance for retailers to signal their trustworthiness to build customer trust and loyalty. Researchers should measure trustworthiness perceptions when examining customer relationships and managers should plan strategically to develop both trust and trustworthiness with their customers. Originality/value – This study is one of the first to investigate the mediating effect of trustworthiness on customer loyalty in service settings. While past research has investigated dimensions of trustworthy behaviors, none has included a measure of trustworthiness perceptions and consumer trust in the same theoretical model. The results of the research provide important insights for both researchers and managers.

Impacts of city personality and image on revisit intention

2015 ◽  
Vol 1 (1) ◽  
pp. 50-69 ◽  
Author(s):  
Hong-bumm Kim ◽  
Sanggun Lee
Keyword(s):  
Structural Equation ◽  
Positive Impact ◽  
Equation Modeling ◽  
Causal Relationships ◽  
City Image ◽  
Content Type ◽  
Dynamic Image ◽  
Revisit Intention ◽  
The Relationship ◽  
The City

Purpose – The purpose of this paper is to examine the causal relationships of city personality and city image, together with the possible effect of city image on the revisit intention of visitors, through empirical validation, so that some meaningful implications can reveal to city planners and marketers how the city tourists can be affected by the personality and image of the city. Design/methodology/approach – This study offers an integrated approach to understanding the relationship between city personality and city image. The research model investigates the relevant relationships among the underlying dimensions of city personality and city image by using a structural equation modeling (SEM) approach. Data obtained from a sample of 302 respondents drawn from a web-based survey in South Korea were analyzed with AMOS program. Findings – The results of this empirical study indicate that city personality positively or negatively affect city image depending on the nature of constructs. Positive relationships are found to exist between excitement as well as sophistication personality and dynamic image of city. On the contrary, the relationship between sincerity personality and dynamic image is negative. All the specific three images of city: dynamic, specific, and static image show positive impact on revisit intention of city tourists. Originality/value – The empirical results of this study provide tenable evidence that the proposed SEM designed to consider city personality and city image, and revisit intention simultaneously is acceptable. Even though in the previous literature, researchers tried to explain the relationship between city personality and city image, the conceptual model and empirical studies pertaining to causal relationships among those constructs have not been thoroughly examined. It is believed that this study has a substantial capability for generating more precise applications related to city tourism, especially concerning city personality and city image.

scholarly journals Prevention of cybercrimes in smart cities of India: from a citizen’s perspective

2019 ◽  
Vol 32 (5) ◽  
pp. 1153-1183 ◽  
Author(s):  
Sheshadri Chatterjee ◽  
Arpan Kumar Kar ◽  
Yogesh K. Dwivedi ◽  
Hatice Kizgin
Keyword(s):  
Conceptual Model ◽  
Structural Equation ◽  
Smart Cities ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Content Type ◽  
Actual Usage ◽  
Factors Influencing ◽  
Technology Adoption Model

PurposeThe purpose of this paper is to identify the factors influencing the citizens of India to prevent cybercrimes in the proposed Smart Cities of India.Design/methodology/approachA conceptual model has been developed for identifying factors preventing cybercrimes. The conceptual model was validated empirically with a sample size of 315 participants from India. Data were analyzed using structural equation modeling with SPSS and AMOS softwares.FindingsThe study reveals that the “awareness of cybercrimes” significantly influences the actual usage of technology to prevent cybercrimes in Smart Cities of India. The study reveals that government initiative (GI) and legal awareness are less influential in spreading of the awareness of cybercrimes (AOC) to the citizens of the proposed smart cities.Research limitations/implicationsThe conceptual model utilizes two constructs from the technology adoption model, namely, perceived usefulness and ease of use. The study employs other factors such as social media, word of mouth, GIs, legal awareness and organizations constituting entities spreading awareness from different related literature works. Thereby, a comprehensive theoretical conceptual model has been proposed which helps to identify the factors that may help in preventing cybercrimes.Practical implicationsThis study provides an insight to the policy maker to understand several factors influencing the AOC of the citizens of the proposed Smart Cities of India for the prevention of cybercrimes.Originality/valueThere are few existing studies analyzing the effect of AOC to mitigate cybercrimes. Thus, this study offers a novel contribution.

scholarly journals A public goods model of outcomes from online knowledge sharing mediated by mental model processing

2019 ◽  
Vol 23 (1) ◽  
pp. 1-22 ◽  
Author(s):  
Ronald E. Rice ◽  
Marni Heinz ◽  
Ward van Zoonen
Keyword(s):  
Public Goods ◽  
Knowledge Sharing ◽  
Public Good ◽  
Mental Model ◽  
Structural Equation ◽  
Equation Modeling ◽  
Costs And Benefits ◽  
Learning Potential ◽  
Content Type ◽  
The Individual

Purpose This study aims to take a public goods approach to understand relationships between collecting and contributing knowledge to an online knowledge sharing portal (KSP), mental model processing and outcomes at the individual and collective levels. Design/methodology/approach This study reports on a survey (N = 602) among tax professionals, examining the perceived individual and collective benefits and costs associated with collecting and contributing knowledge. Hypotheses were tested using structural equation modeling. Findings Collecting and contributing knowledge led to considerable mental model processing of the knowledge. That in turn significantly influenced (primarily) individual and (some) collective costs and benefits. Results varied by the kinds of knowledge sharing. Whether directly from knowledge sharing, or mediated through mental modeling, the perceived costs and benefits may be internalized as an individual good rather than being interpreted at the collective level as a public good. Research limitations/implications The study is situated in the early stages of a wiki-type online KSP. A focus on the learning potential of the system could serve to draw in new users and contributors, heightening perceptions of the public goods dimension of a KSP. Practical implications A focus on the learning potential of the system could serve to draw in new users, and thus the number of subsequent contributors, heightening perceptions of the collective, public goods dimension of a KSP. Originality/value This study explores how knowledge sharing and mental model processing are directly and indirectly associated with individual and collective costs and benefits. As online knowledge sharing is both an individual and public good, costs and benefits must be considered from both perspectives.

The effects of knowledge creation process on organizational performance using the BSC approach: the mediating role of intellectual capital

2018 ◽  
Vol 22 (4) ◽  
pp. 802-823 ◽  
Author(s):  
Gholamhossein Mehralian ◽  
Jamal A. Nazari ◽  
Peivand Ghasemzadeh
Keyword(s):  
Organizational Performance ◽  
Intellectual Capital ◽  
Knowledge Creation ◽  
Structural Equation ◽  
Positive Impact ◽  
Equation Modeling ◽  
Success Factor ◽  
Content Type ◽  
Key Dimensions ◽  
The Relationship

PurposeKnowledge is a key success factor in achieving competitive advantage in the current fast-paced and uncertain economic environment. Several studies in the literature have analyzed the relationship between knowledge creation (KC) and organizational success; however, the mechanisms by which KC leads to accumulation of intellectual capital (IC) and thereby affects various dimensions of organizational performance are understudied. The purpose of this paper is to examine how KC and IC and their relationship influence key dimensions of organizational performance.Design/methodology/approachA research model was developed and tested based on the literature in the areas of KC, IC and organizational performance. This study uses a survey sent to companies in an intensive knowledge-based industry. The balanced scorecard (BSC) approach was used to measure the key dimensions of organizational performance.FindingsThe results from structural equation modeling (SEM) on 470 completed questionnaires received from the pharmaceutical companies in Iran reveal that KC activities lead to the accumulation of organizational IC and IC has a crucial and positive impact on the BSC. Furthermore, the results from the path analysis indicate that IC mediates the effects of KC on the BSC.Practical implicationsThe findings of this study contribute to the extant literature on the relationship between knowledge and organizational performance by demonstrating that knowledge and KC lead to performance when organizations utilize KC activities and leverage them to accumulate IC. Once used effectively, IC will result in a better performance in the knowledge-intensive environments.Originality/valueThis is the first study that investigates how KC contributes to firm performance by incorporating the mediating impact of IC on the BSC. The proposed model and results will help organizations to identify the mechanisms through which KC initiatives improve organizational performance.

Capture coproduction behavior in networking alumni communities: Progress from platform belongingness, knowledge sharing, and citizenship behavior

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
My-Trinh Bui ◽  
Don Jyh-Fu Jeng
Keyword(s):  
Knowledge Sharing ◽  
Structural Equation ◽  
Knowledge Exchange ◽  
Citizenship Behavior ◽  
Equation Modeling ◽  
Collaboration Network ◽  
Conservation Of Resources ◽  
Content Type ◽  
Community Platforms ◽  
Relational Mechanism

Purpose The purpose of this study is to investigate coproduction behavior in networking alumni communities via the progress from platform belongingness, knowledge sharing and citizenship behavior. Alumni networking communities have emerged as valuable assets for conserving institutional resources, supporting members and contributing new resources for alumni-institutional professional development. However, the previous literature has not yet captured the explicit processes by which these contributions are made. Design/methodology/approach Data from 711 respondents selected from an alumni collaboration network were subjected to structural equation modeling analysis. Findings The study explored resource conservation (belongingness) as the primary relational mechanism for alumni to share their instrumental resources (knowledge sharing), supporting resources (citizenship behavior) and competent resources (coproduction behavior). Knowledge sharing and citizenship behavior act as intermediate agents to trigger coproduction behavior. The authors show how subjective norm, group norm and trust is regarded as a tool to reduce bonding intrusiveness (i.e. the intrusive side-effects of a bond) and moderate the indirect effect of belongingness on coproduction and the direct effect of citizenship on coproduction. Research limitations/implications By applying attachment theory, conservation of resources theory and digital platform networking perspectives, this study describes major implications for designing inspiring and compatible community platforms. Practical implications Guidance is provided for improving sustainable alumni communities through citizenship-sharing and coproduction behavior. Social implications Online alumni communities are regarded as resource conservators, which can result in valuable coproduction, via the sharing of knowledge, expertise and skillsets to create profit for a range of institutions and industries. Originality/value Alumni networking platforms encourage alumni cohesiveness, stimulate knowledge exchange and improve professionalism.

Information Credibility Evaluation in Presence of Users’ Safety in New Retailing

2021 ◽  
Author(s):  
Dong Wang ◽  
Kehong Wang ◽  
Lemei Yan ◽  
Zeyu Yue ◽  
Jiewen Zhang
Keyword(s):  
Technology Acceptance ◽  
Information Acquisition ◽  
Structural Equation ◽  
Information Quality ◽  
Positive Impact ◽  
Reliability And Validity ◽  
Equation Modeling ◽  
Self Identity ◽  
Factors Influencing ◽  
Information Credibility

Understanding users’ safety perception of the credibility of web-based information has become increasingly important in the context of new retailing. This study extends the existing literature by exploring the factors influencing information credibility in the context of new retailing. Based on the technology acceptance model and the rational behavior theory, a theoretical model for the assessment of information credibility in new retailing was developed. We analyzed the factors influencing users’ safety preference toward information communication procedures and information credibility in new retailing based on two aspects: perceived information quality and user judgment motivation. The reliability and validity of the model measure were analyzed, and structural equation modeling was used to test the model hypotheses. The following results were obtained: (1) Authenticity, accuracy, and practicability positively affected the perceived information quality of new retailing information; (2) User judgment motivation had a positive impact on information users’ safety preference and information credibility; (3) Users’ safety preference positively affected information credibility; (4) Information acquisition, social interaction, and self-identity positively affected the perceived credibility of new retailing information.

Enterprise social network (ESN) systems and knowledge sharing: what makes it work for users?

2019 ◽  
Vol 50 (2) ◽  
pp. 305-327
Author(s):  
Abhishek Kalra ◽  
Rupashree Baral
Keyword(s):  
Social Network ◽  
Knowledge Sharing ◽  
Structural Equation ◽  
Least Squares Method ◽  
Equation Modeling ◽  
Top Management ◽  
Management Support ◽  
Cross Sectional ◽  
Content Type ◽  
Enterprise Social Network

Purpose Enterprise Social Network (ESN) systems have emerged as the technology of choice to bolster and support organizational efforts for harnessing embedded knowledge. However, a lack of understanding about it limits the optimization of its potential. Hence, this paper aims to assess the role of hedonic motivation, network externalities (NE) and top management support in conjugation with the unified theory of acceptance and use of technology theory to understand ESN’s usage for knowledge sharing. Design/methodology/approach Data were collected from 187 ESN users through a survey questionnaire and subsequently analyzed using variance-based structural equation modeling using the partial least squares method. Findings ESNs are used both for utilitarian and hedonic purposes. Furthermore, the results also bring out the importance of externalities arising from an extensive network of users and complimentary services, as well as support regarding resources and recognition from the top management toward reinforcing the benefits of using ESNs. Research limitations/implications This study advances earlier knowledge by assessing the actual usage of ESNs for knowledge sharing. It takes into consideration multiple input variables, namely, performance expectancy, effort expectancy, NE amongst others to best resonate with the key factors driving its adoption and usage by an individual. However, because of the cross-sectional research design, causality can only be inferred. Practical implications The organizations are recommended to have in place the measures for attaining optimal usage of ESNs, and in turn, witness knowledge moves around in ways unfathomable. Steps should be taken to develop tools and ecosystems to provide users affordances for both increasing productivity, as well as opportunities for gaining pleasure. Originality/value This study is one of its kind effort to synthesize the knowledge about the ESNs in an Indian context. It provides fascinating insights into the determinants of intention and usage of ESNs for knowledge sharing.

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