Innovating through digital revolution

2019 ◽  
Vol 57 (8) ◽  
pp. 2032-2051 ◽  
Author(s):  
Francesco Caputo ◽  
Valentina Cillo ◽  
Elena Candelo ◽  
Yipeng Liu
Keyword(s):  
Big Data ◽  
Human Resources ◽  
Organizational Behavior ◽  
Economic Performance ◽  
Structural Equation ◽  
Work Motivation ◽  
Equation Modeling ◽  
High Tech ◽  
Soft Skill ◽  
Content Type

PurposeThe purpose of this paper is to investigate the relations among soft skill, information technologies and Big Data for building a possible bridge able to link human and technology dimensions for increasing firm performance.Design/methodology/approachUsing the Business-focused Inventory of Personality , work personality of 4,758 human resources engaged in 72 high-tech European firms has been analyzed and its relations with firms’ investment in Big Data and firms’ economic performance have been tested using the structural equation modeling (SEM).FindingsThe research shows the existence of strong relations between some elements of human resources’ personality such as the work motivation and the social competencies and the firms’ economic performance. At the same time, the research clarifies the mediated effect of firms’ investment in Big Data in the relations between human resources’ organizational behavior and the firms’ economic performance.Originality/valueThe paper extends previous managerial contributions about Big Data management and human resource management providing evidence on which build more effective managerial models in the era of digital transformation.

Relationships between leadership, motivation and employee-level innovation: evidence from India

2020 ◽  
Vol 49 (7) ◽  
pp. 1363-1379
Author(s):  
Vishal Gupta
Keyword(s):  
Intrinsic Motivation ◽  
Structural Equation ◽  
Extrinsic Motivation ◽  
Organizational Context ◽  
Work Motivation ◽  
Sense Of Self ◽  
Autonomous Motivation ◽  
Work Behavior ◽  
Equation Modeling ◽  
Content Type

PurposeIntegrating the behavioral theory of leadership, the componential theory of creativity and the self-determination theory (SDT), the study tests the relationships between leadership, work motivation (intrinsic motivation, integrated extrinsic motivation, extrinsic motivation) and employee-level innovation (innovative work behavior and innovation outcomes) in a work setting.Design/methodology/approachData were collected using a survey questionnaire from 493 scientists working in India's largest civilian research and development (R&D) organization. The structural equation modeling (SEM) method was used to test the hypothesized relationships between the study variables.FindingsThe study found evidence for positive relationships between leadership, employee autonomous motivation (intrinsic and integrated extrinsic motivation) and employee-level innovation. The study shows that extrinsic motivation is positively related to innovation only when the value of rewards is integrated to one's sense of self (integrated extrinsic motivation). Extrinsic motivation, otherwise, is not related to innovation.Research limitationsThe study was cross-sectional, so inferences about causality are limited.Practical implicationsFirst, while extrinsic motivation is considered bad for innovation, the study provides evidence that integrated extrinsic motivation complements intrinsic motivation and encourages employee-level innovation. Second, the study shows that leaders can aid the process of development of autonomous motivation by displaying positive behaviors. Third, the study validates the mediating role of autonomous motivation for the leadership–innovation relationship.Originality/valueThe study provides an insight into the underlying process through which leaders can impact innovation at the workplace. To the best of the author's knowledge, such a study is the first of its kind undertaken in an organizational context.

Investigate the role of distributed leadership and strategic flexibility in fostering business model innovation

2019 ◽  
Vol 13 (1) ◽  
pp. 93-112 ◽  
Author(s):  
Suqin Liao ◽  
Zhiying Liu ◽  
Lihua Fu ◽  
Peichi Ye
Keyword(s):  
Business Model ◽  
Distributed Leadership ◽  
Structural Equation ◽  
Dynamic Capabilities ◽  
Business Model Innovation ◽  
Equation Modeling ◽  
High Tech ◽  
Strategic Flexibility ◽  
Environmental Dynamism ◽  
Content Type

PurposeThe purpose of this paper is to examine whether the new distributed leadership patterns is an important driver for innovating business model. By synthesizing insights from the dynamic capabilities perspective, it also explores how and when distributed leadership enhances the business model innovation (BMI) by involving strategic flexibility as a mediator and environmental dynamism as important contingency.Design/methodology/approachA survey via questionnaire was conducted with 262 CEOs and 262 senior managers from Chinese high-tech companies that provided the research data. Structural equation modeling and linear regression analyses were used to test the time-lagged data, and then the main research questions were responded to.FindingsThe analysis reveals that distributed leadership has a significant direct influence on BMI, and that distributed leadership also indirectly affects BMI by enhancing strategic flexibility. Environmental dynamism strengthens the positive effect of distributed leadership on BMI under strategic flexibility.Originality/valueThis paper advances and enriches the emerging stream of BMI research. It presents an innovative conceptual analysis of the antecedents of BMI, and it shows a possible solution for BMI that complements extant research that considers which and how the leadership style of the organizations affects the business model change.

scholarly journals The Impact of Big Data Adoption on SMEs’ Performance

2021 ◽  
Vol 5 (4) ◽  
pp. 68
Author(s):  
Mahdi Nasrollahi ◽  
Javaneh Ramezani ◽  
Mahmoud Sadraei
Keyword(s):  
Big Data ◽  
Economic Performance ◽  
Structural Equation ◽  
Information Technologies ◽  
Social Performance ◽  
Empirical Studies ◽  
Research Area ◽  
Equation Modeling ◽  
Future Research ◽  
The Impact

The notion of Industry 4.0 encompasses the adoption of new information technologies that enable an enormous amount of information to be digitally collected, analyzed, and exploited in organizations to make better decisions. Therefore, finding how organizations can adopt big data (BD) components to improve their performance becomes a relevant research area. This issue is becoming more pertinent for small and medium enterprises (SMEs), especially in developing countries that encounter limited resources and infrastructures. Due to the lack of empirical studies related to big data adoption (BDA) and BD’s business value, especially in SMEs, this study investigates the impact of BDA on SMEs’ performance by obtaining the required data from experts. The quantitative investigation followed a mixed approach, including survey data from 224 managers from Iranian SMEs, and a structural equation modeling (SEM) methodology for the data analysis. Results showed that 12 factors affected the BDA in SMEs. BDA can affect both operational performance and economic performance. There has been no support for the influence of BDA and economic performance on social performance. Finally, the study implications and findings are discussed alongside future research suggestions, as well as some limitations and unanswered questions.

scholarly journals Impact of big data and predictive analytics capability on supply chain sustainability

2018 ◽  
Vol 29 (2) ◽  
pp. 513-538 ◽  
Author(s):  
Shirish Jeble ◽  
Rameshwar Dubey ◽  
Stephen J. Childe ◽  
Thanos Papadopoulos ◽  
David Roubaud ◽  
...  
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Theoretical Model ◽  
Performance Measures ◽  
Structural Equation ◽  
Predictive Analytics ◽  
Equation Modeling ◽  
Sustainable Supply Chain ◽  
Content Type ◽  
The Impact

PurposeThe purpose of this paper is to develop a theoretical model to explain the impact of big data and predictive analytics (BDPA) on sustainable business development goal of the organization.Design/methodology/approachThe authors have developed the theoretical model using resource-based view logic and contingency theory. The model was further tested using partial least squares-structural equation modeling (PLS-SEM) following Peng and Lai (2012) arguments. The authors gathered 205 responses using survey-based instrument for PLS-SEM.FindingsThe statistical results suggest that out of four research hypotheses, the authors found support for three hypotheses (H1-H3) and the authors did not find support forH4. Although the authors did not find support forH4(moderating role of supply base complexity (SBC)), however, in future the relationship between BDPA, SBC and sustainable supply chain performance measures remain interesting research questions for further studies.Originality/valueThis study makes some original contribution to the operations and supply chain management literature. The authors provide theory-driven and empirically proven results which extend previous studies which have focused on single performance measures (i.e. economic or environmental). Hence, by studying the impact of BDPA on three performance measures the authors have attempted to answer some of the unresolved questions. The authors also offer numerous guidance to the practitioners and policy makers, based on empirical results.

Influence research of multi-dimensional tech-innovation behavior on tech-innovation performance

2016 ◽  
Vol 8 (2) ◽  
pp. 148-160 ◽  
Author(s):  
Fu-li Zhou ◽  
Xu Wang ◽  
Yun Lin ◽  
Yan-dong He ◽  
Nan Wu
Keyword(s):  
Economic Performance ◽  
Environmental Performance ◽  
Structural Equation ◽  
Structured Interview ◽  
Innovation Performance ◽  
Three Dimensions ◽  
Equation Modeling ◽  
Innovation Activity ◽  
Content Type ◽  
Innovation Behavior

Purpose The purpose of this study is to investigate the research on the influence of tech-innovation behavior on tech-innovation performance for Chinese manufacturing enterprises. Environmental performance has been taken into consideration with the green manufacturing and sustainability philosophy being a hotspot. Design/methodology/approach To verify the hypotheses and assumptions, a questionnaire was designed and a semi-structured interview was conducted for data collection. In addition, structural equation modeling (SEM) is applied to verify the influence model through assessing the fitting indexes based on the 317 questionnaire responses in the form of Likert-type scale. Findings Tech-innovation behavior and activity from direction, mode and investment behavior dimensions show their different positive influences on tech-innovation performance. This paper has creatively taken environmental tech-innovation performance into consideration, as well as economic performance. This investigation has provided the interpretation for each individual enterprise from three dimensions when conducting tech-innovation activity. Research limitations/implications Tech-innovation behavior, which has been a subject of extended discussion during recent decades, is the effective activity or action for tech-innovation. However, there have not been any studies on the environmental performance influence study, as well as the economic performance from these three dimensions and framework. Practical implications As this paper discusses the tech-innovation performance influence study from three dimensions, individual enterprises can choose the corresponding action for the proper tech-innovation path, especially for small- and medium-sized enterprises. Originality/value This study helps managers recognize tech-innovation activities for better tech-innovation performance based on the empirical study.

Abusive supervision, supervisor undermining, and turnover intentions: mediation of quiescent silence and desire to seek revenge among Thai banking frontliners

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Gul Afshan ◽  
Muhammad Kashif ◽  
Damrong Sattayawaksakul ◽  
Pimpa Cheewaprakobkit ◽  
Shanika Wijenayake
Keyword(s):  
Organizational Behavior ◽  
Social Exchange ◽  
Structural Equation ◽  
Turnover Intentions ◽  
Abusive Supervision ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Content Type ◽  
Trickle Down

Purpose Drawing on the social exchange theory, this study aims to investigate the destructive impact of abusive supervision and supervisor undermining on quiescent silence and turnover intentions among frontline employees. Whether quiescent silence and the desire to seek revenge mediate the path from aggressive supervisory behaviors to turnover intentions is explored. Design/methodology/approach Following a time-lagged design, the authors collected data from 350 frontline banking officers in Thailand by a survey. For data analysis purposes, structural equation modeling procedures are used through Smart partial least square version 3.2.0. Findings Uniquely, findings suggest that abusive supervision does not result in any form of retaliation. Supervisor undermining has a trickle-down effect on the desire to revenge, quiescent silence and turnover intentions. For supervisor undermining, the direct path, as well as mediating roles are supported by data. Practical implications The findings of this study suggests organizational systems should discourage supervisors from undermining the subordinates. There is a need to offer regular training to supervisors. Furthermore, employees should be provided some platforms and the freedom to positively speak at work. Above all, supervisors should be more inspiring which can dilute negative perceptions of abuse. Originality/value The proposed mediation of desire to revenge and quiescent silence is unique to this study. Moreover, the challenge to the traditional trickle-down effects of abusive supervision is a unique intervention in the organizational behavior literature.

A structural equation model for big data adoption in the healthcare supply chain

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dindayal Agrawal ◽  
Jitender Madaan
Keyword(s):  
Factor Analysis ◽  
Big Data ◽  
Supply Chain ◽  
Latent Variables ◽  
Structural Equation ◽  
Equation Model ◽  
Equation Modeling ◽  
Data Governance ◽  
Social Perspective ◽  
Content Type

PurposeThe purpose of this study is to examine the barriers to the implementation of big data (BD) in the healthcare supply chain (HSC).Design/methodology/approachFirst, the barriers concerning BD adoption in the HSC were found by conducting a detailed literature survey and with the expert's opinion. Then the exploratory factor analysis (EFA) was employed to categorize the barriers. The obtained results are verified using the confirmatory factor analysis (CFA). Structural equation modeling (SEM) analysis gives the path diagram representing the interrelationship between latent variables and observed variables.FindingsThe segregation of 13 barriers into three categories, namely “data governance perspective,” “technological and expertise perspective,” and “organizational and social perspective,” is performed using EFA. Three hypotheses are tested, and all are accepted. It can be concluded that the “data governance perspective” is positively related to “technological and expertise perspective” and “organizational and social perspective” factors. Also, the “technological and expertise perspective” is positively related to “organizational and social perspective.”Research limitations/implicationsIn literature, very few studies have been performed on finding the barriers to BD adoption in the HSC. The systematic methodology and statistical verification applied in this study empowers the healthcare organizations and policymakers in further decision-making.Originality/valueThis paper is first of its kind to adopt an approach to classify barriers to BD implementation in the HSC into three distinct perspectives.

scholarly journals Understanding supply chain analytics capabilities and agility for data-rich environments

2019 ◽  
Vol 39 (6/7/8) ◽  
pp. 887-912 ◽  
Author(s):  
Samuel Fosso Wamba ◽  
Shahriar Akter
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Structural Equation ◽  
Equation Modeling ◽  
Future Research ◽  
Chain Management ◽  
Content Type ◽  
Supply Chain Agility ◽  
The Usa

Purpose Big data-driven supply chain analytics capability (SCAC) is now emerging as the next frontier of supply chain transformation. Yet, very few studies have been directed to identify its dimensions, subdimensions and model their holistic impact on supply chain agility (SCAG) and firm performance (FPER). Therefore, to fill this gap, the purpose of this paper is to develop and validate a dynamic SCAC model and assess both its direct and indirect impact on FPER using analytics-driven SCAG as a mediator. Design/methodology/approach The study draws on the emerging literature on big data, the resource-based view and the dynamic capability theory to develop a multi-dimensional, hierarchical SCAC model. Then, the model is tested using data collected from supply chain analytics professionals, managers and mid-level manager in the USA. The study uses the partial least squares-based structural equation modeling to prove the research model. Findings The findings of the study identify supply chain management (i.e. planning, investment, coordination and control), supply chain technology (i.e. connectivity, compatibility and modularity) and supply chain talent (i.e. technology management knowledge, technical knowledge, relational knowledge and business knowledge) as the significant antecedents of a dynamic SCAC model. The study also identifies analytics-driven SCAG as the significant mediator between overall SCAC and FPER. Based on these key findings, the paper discusses their implications for theory, methods and practice. Finally, limitations and future research directions are presented. Originality/value The study fills an important gap in supply chain management research by estimating the significance of various dimensions and subdimensions of a dynamic SCAC model and their overall effects on SCAG and FPER.

Abusive supervision and employee engagement and satisfaction: the mediating role of employee silence

2020 ◽  
Vol 49 (9) ◽  
pp. 1845-1858
Author(s):  
Chih-Chieh Wang ◽  
Hui-Hsien Hsieh ◽  
Yau-De Wang
Keyword(s):  
Job Satisfaction ◽  
Employee Engagement ◽  
Work Engagement ◽  
Structural Equation ◽  
Work Motivation ◽  
Abusive Supervision ◽  
Equation Modeling ◽  
Full Time ◽  
Content Type ◽  
Employee Silence

PurposePrevious studies have found that abusive supervision undermines employees' work motivation and attitudes, namely work engagement and job satisfaction. However, less is known about the mechanisms by which abusive supervision negatively relates to employees' work engagement and job satisfaction. Drawing on conservation of resources theory, this study examines employee silence as a mediating mechanism linking abusive supervision to employees' work engagement and job satisfaction.Design/methodology/approachSurvey data were collected from a sample of 233 full-time employees of a large hotel service company in Taiwan. Structural equation modeling analyses were conducted to test the hypotheses.FindingsThe results showed that abusive supervision has a positive association with employee silence. Moreover, the results showed that employee silence mediates the negative associations of abusive supervision with employees' work engagement and job satisfaction.Practical implicationsThe results suggest that organizational managers should provide supervisors with leadership interventions to prevent the occurrence of abusive supervision. Furthermore, organizational managers should provide employees with opportunities to voice their concerns through the use of organizational communication and participation, which can reduce employee silence and subsequently foster employee engagement and satisfaction at work.Originality/valueThis study advances our understanding of how abusive supervision results in poor work motivation and attitudes among employees. This contributes to the literature by identifying employee silence as a suitable mediating mechanism linking the negative associations of abusive supervision with employees' work engagement and job satisfaction.

scholarly journals PENGARUH BUDAYA ORGANISASI, KOMITMEN ORGANISASI, DAN MOTIVASI KERJA TERHADAP KEPUASAN KERJA DAN KINERJA KARYAWAN

2018 ◽  
Vol 16 (4) ◽  
pp. 473-486
Author(s):  
Zainul Arifin Noor
Keyword(s):  
Job Satisfaction ◽  
Organizational Culture ◽  
Organizational Commitment ◽  
Human Resources ◽  
Structural Equation ◽  
Work Motivation ◽  
Equation Modeling ◽  
Human Resources Development ◽  
Working Performance ◽  
And Performance

This research aims to test and prove the influence of organizational culture, organizational commitment, and motivation of work towards job satisfaction and performance of employees of PT Indofood Sukses Makmur Tbk Kalimantan. The population in this study were employees of PT Indofood Sukses Makmur Tbk Kalimantan some 392 employees originating from the manufacturing, human resources development, marketing, and accounting. Using the formula, the respondent elected slovin as samples of 50.5% of the number of 198 employees originating from the manufacturing of 155 employees, human resources a number of 19 employees, marketing a number of 14 employees, and accounting of 10 employees. Based on the results of data analysis using Structural Equation Modeling (SEM) through AMOS 16.0, the results showed the 7 proposed hypotheses, there is a significant hypothesis 6 or received and there is a rejected hypothesis 1. As for the hypothesis is a hypothesis accepted: 1. Organizational culture affect significantly to job satisfaction of employees. Hypothesis 2. Organizational commitment affect significantly to job satisfaction of employees, the hypothesis 3. Influential work motivation significantly to job satisfaction of employees, hypothesis 4. Organizational culture affect significantly the performance of employees, the hypothesis 6. Significant impact on the motivation of working performance of employees, and hypotheses 7. Job satisfaction influence significantly the performance of the employees of PT Indofood Sukses Makmur Tbk Kalimantan. The hypothesis was rejected while the 1 is the hypothesis that 5 has no effect on the Organization's commitment to the performance of the employees of PT Indofood Sukses Makmur Tbk Kalimantan

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