Organizational identity and behaviors in strategic networks

2016 ◽  
Vol 31 (1) ◽  
pp. 36-46 ◽  
Author(s):  
Marko Kohtamäki ◽  
Sara Thorgren ◽  
Joakim Wincent
Keyword(s):  
Organizational Identity ◽  
Structural Equation ◽  
Quantitative Research ◽  
Network Performance ◽  
Performance Outcomes ◽  
Equation Modeling ◽  
Content Type ◽  
Strategic Networks ◽  
Managerial Perceptions ◽  
And Performance

Purpose – The purpose of this study is to develop and test a framework describing the interplay between collective organizational identity, network behaviors and performance in strategic networks. Design/methodology/approach – The study uses data from 141 firms that participated in strategic networks. Structural equation modeling is used to test the hypotheses. Findings – This study demonstrates how a firm’s collective organizational identity directs managerial perceptions toward partner’s opportunism in strategic networks; how these views shape interactions with network partners; and how these interactions facilitate firm adaptations within strategic networks. Moreover, it demonstrates how network adaptations affect the satisfaction with strategic network performance and how this ultimately loops back to influence organizational identity. Research limitations/implications – Given the limits of quantitative research to capture the mechanisms driving network collaborations, further case-based research on the role of organizational identity for network behaviors is needed. Practical implications – The results highlight the importance of collective organizational identity for network behaviors and positive performance outcomes. Firms that intend to engage in strategic networks should develop a collective organizational identity that supports implementing the network strategy. The results emphasize the importance of developing a collective organizational identity. Originality/value – Organizational identity in facilitating network behaviors.

Can tasks and learning be balanced? A dual-pathway model of cloud-based e-learning continuance intention and performance outcomes

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yung-Ming Cheng
Keyword(s):  
Structural Equation ◽  
Performance Outcomes ◽  
Learning System ◽  
Equation Modeling ◽  
Medical Professionals ◽  
Continuance Intention ◽  
Content Type ◽  
E Learning ◽  
Perceived Impact ◽  
And Performance

Purpose The purpose of this paper is to examine the roles of task-technology fit (TTF), learning-technology fit (LTF) and cognitive absorption (CA) in determining medical professionals’ cloud-based electronic learning (e-learning) system continuance intention and performance outcomes and evaluate whether medical professionals’ perceived impact on learning can affect their perceived impact on tasks within medical institutions. Design/methodology/approach Sample data for this study were collected from medical professionals at six hospitals in Taiwan. A total of 600 questionnaires were distributed, and 373 (62.2%) usable questionnaires were analyzed using structural equation modeling in this study. Findings In this study, medical professionals’ perceived TTF and LTF as antecedents to their cloud-based e-learning continuance intention and performance outcomes were validated, and medical professionals’ perceived impact on learning had a positive effect on their perceived impact on tasks. Synthetically speaking, this study’s results strongly support the research model with all hypothesized links being significant. Originality/value It is particularly worth mentioning that this study introduces a new construct, “LTF,” to conceptualize, define and measure it, and further contributes to the application of capturing both expectation–confirmation model and CA (i.e. an intrinsic motivator) for completely explaining medical professionals’ perceived TTF and LTF as external variables to their cloud-based e-learning continuance intention and performance outcomes.

Role of organizational image in employee engagement and performance

2019 ◽  
Vol 26 (3) ◽  
pp. 971-989 ◽  
Author(s):  
Swati Dhir ◽  
Archana Shukla
Keyword(s):  
Employee Engagement ◽  
Structural Equation ◽  
Quantitative Research ◽  
Equation Modeling ◽  
Cross Sectional ◽  
Organizational Image ◽  
Content Type ◽  
Theoretical Support ◽  
And Performance

Purpose The purpose of this paper is to investigate the role of organizational image in engaging employees and improving their performance. The study has explored the role of employee’s perception about the organizational image, and its linkage with the investment of employee’s energies into their work roles resulting in employee engagement (EE) and hence performance. Design/methodology/approach Adopting a model that was built on the basis of research conducted in the form of surveys. By using cross-sectional data and following a quantitative research method, the study collected data from 701 managers in India holding various positions, in different industries. The study has used “Component-Based Structural Equation Modeling” by Smart PLS. Findings The key findings of the study help employees as well as employers to have a thorough, comprehensive understanding to improve EE and their performance by creating a positive and consistent organizational image. Research limitations/implications This study will be very useful for employers and policymakers to understand the value of organizational image in engaging the workforce effectively. Aligning with the organizational behaviors theoretical support, this study yields some important and useful suggestions for managers to engage and retain their workforce in the present dynamic work environment. Originality/value The paper tries to focus on one’s perceptions of the organization and its linkage between EE and performance. The positive perception of employees reflects that they identify themselves and feel connected with the overall vision of the organization.

Consumer behaviour towards willingness to pay for Halal products

2019 ◽  
Vol 121 (2) ◽  
pp. 492-504 ◽  
Author(s):  
Waqar Ahmed ◽  
Arsalan Najmi ◽  
Hafiz Muhammad Faizan ◽  
Shaharyar Ahmed
Keyword(s):  
Willingness To Pay ◽  
Structural Equation ◽  
Quantitative Research ◽  
Reasoned Action ◽  
Raw Material ◽  
Equation Modeling ◽  
Muslim Country ◽  
Policy Makers ◽  
Content Type ◽  
Factors Affecting

PurposeThe purpose of this paper is to empirically analyze the factors affecting Muslim consumers’ willingness to pay (WTP) for Halal food, products and operations by employing theory of reasoned action.Design/methodology/approachThis study has used quantitative research methodology and collected data from 350 questionnaires from a densely populated city of Pakistan. Partial least squares-structural equation modeling was used to analyze the data.FindingsThe results show that the concerns about Halal, religiosity, perception of usefulness of Halal and product ingredients have a significant impact on WTP for Halal foods, while attitude has an insignificant impact on WTP. Moreover, the extent of demand for Halal certification is significantly affected by WTP.Originality/valueThe study highlighted the concerns of the Muslim consumers with respect to Halalness of the products and operations despite living in a Muslim country. It is recommended that the policy makers, food authorities and health institutions should conduct regular inspections of foods, products and producers’/manufacturers’ operations to ensure that all the procedures from manufacturing of the raw material till the finished goods follow Islamic principles to make them completely Halal.

Supply chain integration and its impact on sustainability

2018 ◽  
Vol 118 (9) ◽  
pp. 1749-1765 ◽  
Author(s):  
Mingu Kang ◽  
Ma Ga (Mark) Yang ◽  
Youngwon Park ◽  
Baofeng Huo
Keyword(s):  
Supply Chain ◽  
Structural Equation ◽  
Management Practices ◽  
Social Performance ◽  
Supply Chain Integration ◽  
Equation Modeling ◽  
Content Type ◽  
New Perspective ◽  
And Performance ◽  
And Function

Purpose The purpose of this paper is to examine the role of supply chain integration (SCI) in improving sustainability management practices (SMPs) and performance. Design/methodology/approach Based on data collected from 931 manufacturing firms in multiple countries and regions, the authors conducted a structural equation modeling analysis to test the proposed hypotheses. Findings The findings suggest that supplier and customer integration are vital enablers for both intra- and inter-organizational SMPs. The results also reveal that both intra- and inter-organizational SMPs are significantly and positively associated with sustainability performance (i.e. economic, environmental and social performance) and function as complements to jointly enhance environmental and social performance. Originality/value This study incorporates SCI into the sustainability literature, providing a new perspective on sustainability and supply chain management research.

scholarly journals THE EFFECT OF WORK FROM HOME ON CORPORATE CULTURE MEDIATED BY MOTIVATION, WORK BEHAVIOR, AND PERFORMANCE

2021 ◽  
Vol 19 (3) ◽  
pp. 522-534
Author(s):  
Reny Andriyanty ◽  
◽  
Farida Komalasari ◽  
Delila Rambe ◽  
◽  
...  
Keyword(s):  
Human Resource Development ◽  
Corporate Culture ◽  
Structural Equation ◽  
Quantitative Research ◽  
Work Motivation ◽  
Employee Performance ◽  
Employee Motivation ◽  
Work Behavior ◽  
Equation Modeling ◽  
And Performance

The research aims to analyze how WFH influences corporate culture through the availability of work facilities, motivation, work behavior, and employee performance. It is quantitative research using structural equation modeling. Data were obtained from 32 respondents that spread across Jakarta, Bekasi, and West Java. The results of this research show that WFH significantly affects the employee’s motivation. On the other hand, WFH has a significant direct effect on work motivation. Work motivation significantly affects work behavior. Work behavior affects employee performance significantly, and performance has a significant effect on innovative corporate culture. The analysis on the specific indirect effect resulted in significantly influencing innovation corporate culture from home through employee motivation, work behavior, and employee performance. Further research could explore the WFH-implementing mechanism as part of a culture of innovation for sustainable human resource development in the new-normal era of Indonesian companies

Testing Antecedents to Sales Performance in Postapartheid ERA: A Field Study

2006 ◽  
Vol 99 (2) ◽  
pp. 603-618 ◽  
Author(s):  
John E. Barbuto ◽  
Liezel Barbuto ◽  
Piet De La Rey ◽  
Adre B. Boshoff ◽  
Ye Xu
Keyword(s):  
Locus Of Control ◽  
Structural Equation ◽  
Sales Performance ◽  
Performance Outcomes ◽  
Equation Modeling ◽  
Insurance Company ◽  
Life Insurance Company ◽  
Sales Representatives ◽  
Entrepreneurial Attitudes ◽  
And Performance

The predictors of objectively measured sales performance were assessed with 245 sales representatives from a large South African life insurance company. Sales representatives completed measures of their locus of control, entrepreneurial attitudes, biographical history, and performance was assessed from company records of sales, net commissions earned, and lapse ratios. The nature of employment contract, job status, and race explained significant differences in performance outcomes. The predictive nature of locus of control and entrepreneurial attitudes for performance outcomes was tested using structural equation modeling procedures, with limited validity. The implications for research and practice are also discussed.

The impact of information security initiatives on supply chain robustness and performance: an empirical study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sindhuja P.N.
Keyword(s):  
Supply Chain ◽  
Information Security ◽  
Supply Chains ◽  
Structural Equation ◽  
Essential Element ◽  
Equation Modeling ◽  
Content Type ◽  
And Performance ◽  
The Impact ◽  
Supply Chain Robustness

Purpose Information security is an essential element in all business activities. The damage to businesses from information security breaches has become pervasive. The scope of information security has widened as information has become a critical supply chain asset, making it more important to protect the organization’s data. Today’s global supply chains rely upon the speedy and robust dissemination of information among supply chain partners. Hence, processing of accurate supply chain information is quintessential to ensure the robustness and performance of supply chains. An effective information security management (ISM) is deemed to ensure the robustness of supply chains. The purpose of the paper is to examine the impact of information security initiatives on supply chain robustness and performance. Design/methodology/approach Based on extant literature, a research model was developed and validated using a questionnaire survey instrument administered among information systems/information technology managers. Data collected were analyzed using exploratory and confirmatory factor analysis. Further, to test the hypotheses and to fit the theoretical model, Structural equation modeling techniques were used. Findings Results of this study indicated that information security initiatives are positively associated with supply chain robustness and performance. These initiatives are likely to enhance the robustness and performance of the supply chains. Originality/value With the advancements in internet technologies and capabilities as well as considering the dynamic environment of supply chains, this study is relevant in terms of the capability that an organization needs to acquire with regards to ISM. Benefiting from the resource dependency theory, information security initiatives could be considered as a critical resource having an influence on the internal and external environment of supply chains.

Understanding salesperson intention to use AI feedback and its influence on business-to-business sales outcomes

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kelly R. Hall ◽  
Dana E. Harrison ◽  
Haya Ajjan ◽  
Greg W. Marshall
Keyword(s):  
Performance Feedback ◽  
Structural Equation ◽  
Equation Modeling ◽  
Sales Managers ◽  
Content Type ◽  
Adaptive Selling ◽  
Promising Area ◽  
Managerial Implications ◽  
And Performance ◽  
Business To Business

Purpose Artificial intelligence (AI) is a rapidly growing frontier. One promising area for AI is its potential to assist sales managers in providing salesperson feedback. Despite this promise, little work has been done within the business-to-business (B2B) sales domain to investigate the potential impact of AI feedback on critical sales outcomes. The purpose of this research is to explore these issues and respond to calls in the literature to determine how AI can enhance salesperson adaptability and performance. Design/methodology/approach Survey data from a sample of 246 B2B salespeople was used to test the conceptual model and research hypotheses. The data were analyzed using partial least squares structural equation modeling (PLS-SEM). Findings The findings provide broad support for the model. An AI-feedback rich environment and salesperson feedback orientation predicted perceived accuracy of AI feedback which, in turn, strengthened intentions to use AI feedback. These favorable reactions to AI feedback positively related to adaptive selling behaviors, and adaptive selling behaviors mediated the relationships between intentions to use AI feedback and organizational commitment, as well as sales performance. Contrary to expectations, it did not mediate the relationship between intentions to use AI feedback and job satisfaction. Practical implications The managerial implications of this study lie in explaining practical considerations for the implementation and use of AI feedback in the sales context. Originality/value This study extends literature on technology adoption, performance feedback and the use of AI in the B2B sales domain. It offers practical insight for sales managers and those responsible for implementing AI solutions in sales.

scholarly journals Promoting creativity and innovation: expected and unexpected consequences

2019 ◽  
Vol 13 (3) ◽  
pp. 296-310 ◽  
Author(s):  
Thi Hong Nguyen ◽  
Angelina Nhat-Hanh Le
Keyword(s):  
Unethical Behavior ◽  
Structural Equation ◽  
Path Model ◽  
Equation Modeling ◽  
Task Characteristics ◽  
Content Type ◽  
And Performance ◽  
Creativity And Innovation ◽  
Unexpected Consequences

Purpose The paper aims to explore the role of climate for creativity and innovation as the situational variable to lead to both expected and unexpected consequences (e.g. performance and unethical behavior), by discovering the relationships among task characteristics (e.g. difficulty, clarity and performance pressure), individual psychological aspects (e.g. mindfulness and self-justification) and work environmental conditions (e.g. peer behavior and climate for creativity and innovation). In this study, task characteristics are proposed to positively associate with unethical behavior via mindfulness. Moreover, climate for creativity and innovation is proposed to moderate the relationship between self-justification and unethical behavior. Finally, unethical behavior is predicted to positively influence on performance. Design/methodology/approach Data were collected from the sample of salespeople, who are working for variety of companies in Vietnam. Partial least squares structural equation modeling (PLS-SEM) and SmartPLS 3 are implemented to test the path model. Findings Emphasizing both bright and dark sides of promoting creativity and innovation, the study highlights the role of climate for creativity and innovation in strengthening the positive relationship between self-justification and unethical behavior. In turn, unethical behavior positively influences performance. Further, the findings indicate that mindfulness contributes in explaining unconscious unethical behavior. Originality/value Exploring the relationships among climate for creativity and innovation, unethical behavior and performance, this paper contributes for deeper understanding of variety aspects of innovation. Demands for an intelligent management in modern workplaces are suggested.

A two-stage structural equation modeling-neural network approach for understanding and predicting the determinants of m-government service adoption

2019 ◽  
Vol 21 (4) ◽  
pp. 419-438 ◽  
Author(s):  
Shamim Talukder ◽  
Raymond Chiong ◽  
Sandeep Dhakal ◽  
Golam Sorwar ◽  
Yukun Bao
Keyword(s):  
Neural Network ◽  
Structural Equation ◽  
Equation Modeling ◽  
Intention To Use ◽  
Government Service ◽  
Content Type ◽  
Service Adoption ◽  
Government Services ◽  
Performance Expectancy ◽  
And Performance

Purpose Despite the widespread use of mobile government (m-government) services in developed countries, the adoption and acceptance of m-government services among citizens in developing countries is relatively low. The purpose of this study is to explore the most critical determinants of acceptance and use of m-government services in a developing country context. Design/methodology/approach The unified theory of acceptance and use of technology (UTAUT) extended with perceived mobility and mobile communication services (MCS) was used as the theoretical framework. Data was collected from 216 m-government users across Bangladesh and analyzed in two stages. First, structural equation modeling (SEM) was used to identify significant determinants affecting users' acceptance of m-government services. In the second stage, a neural network model was used to validate SEM results and determine the relative importance of the determinants of acceptance of m-government services. Findings The results show that facilitating conditions and performance expectancy are the two important precedents of behavioral intention to use m-government services, and performance expectancy mediates the relationship between MCS, mobility and the intention to use m-government services. Research limitations/implications Academically, this study extended and validated the underlying concept of UTAUT to capture the adoption behavior of individuals in a different cultural context. In particular, MCS might be the most critical antecedent towards mobile application studies. From a practical perspective, this study may provide valuable guidelines to government policymakers and system developers towards the development and effective implementation of m-government systems. Originality/value This study has contributed to the existing, but limited, literature on m-government service adoption in the context of a developing country. The predictive modeling approach is an innovative approach in the field of technology adoption.

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