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 The Impact of Big Data Adoption on SMEs Performance

2020 ◽  
Author(s):  
Mahdi Nasrollahi ◽  
Javaneh Ramezani ◽  
Mahmoud Sadraei
Keyword(s):  
Big Data ◽  
Economic Performance ◽  
Information Technologies ◽  
Social Performance ◽  
Research Area ◽  
Future Research ◽  
New Information ◽  
Enormous Amount ◽  
Mixed Approach ◽  
The Impact

Abstract The notion of Industry 4.0 encompasses the adoption of new information technologies that enable an enormous amount of information to be digitally collected, analysed, and exploited in organizations to make better decisions. Therefore, finding how organizations can adopt big data components to improve their performance became a relevant research area. This issue is becoming more pertinent for SMEs. This study investigates the impact of big data adoption 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 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 avenues and limitations.

scholarly journals Does Job Embeddedness Mediate the Effect of Resilience on Cabin Attendants’ Career Satisfaction and Creative Performance?

2021 ◽  
Vol 13 (9) ◽  
pp. 5104
Author(s):  
Aram Eslamlou ◽  
Osman M. Karatepe ◽  
Mehmet Mithat Uner
Keyword(s):  
Structural Equation ◽  
Career Satisfaction ◽  
Job Embeddedness ◽  
Performance Outcomes ◽  
Theory And Practice ◽  
Equation Modeling ◽  
Future Research ◽  
Conservation Of Resources ◽  
Creative Performance ◽  
The Impact

An increasing body of research suggests job embeddedness (JE) as a motivational variable influencing employees’ attitudinal and behavioral outcomes such as quitting intentions and task performance. Personal resources have been reported to affect JE and these outcomes. However, little work has investigated the antecedents and consequences of JE among cabin attendants. There is also a dearth of empirical research regarding the mechanism linking resilience to cabin attendants’ affective and performance outcomes. Therefore, drawing on conservation of resources and JE theories, we propose a conceptual model that examines the interrelationships of resilience, JE, career satisfaction (CSAT), and creative performance (CPERF). Moreover, the model explores JE as a mediator of the impact of resilience on CSAT and CPERF. These linkages were tested via data collected from cabin attendants and their pursers. The findings from structural equation modeling reveal that resilience boosts cabin attendants’ JE, CSAT, and CPERF. As predicted, JE is a mediator between resilience and CSAT. Our paper culminates with implications for theory and practice as well as future research directions.

scholarly journals Love at first swipe? Explaining Tinder self-presentation and motives

2016 ◽  
Vol 5 (1) ◽  
pp. 80-101 ◽  
Author(s):  
Giulia Ranzini ◽  
Christoph Lutz
Keyword(s):  
Structural Equation ◽  
Self Esteem ◽  
Hooking Up ◽  
Equation Modeling ◽  
Future Research ◽  
Mobile Media ◽  
Self Presentation ◽  
Psychological Predictor ◽  
Real Self ◽  
The Impact

The emergence of location-based real-time dating (LBRTD) apps such as Tinder has introduced a new way for users to get to know potential partners nearby. The design of the apps represents a departure from “old-school” dating sites as it relies on the affordances of mobile media. This might change the way individuals portray themselves as their authentic or deceptive self. Based on survey data collected via Mechanical Turk and using structural equation modeling, we assess how Tinder users present themselves, exploring at the same time the impact of their personality characteristics, their demographics, and their motives of use. We find that self-esteem is the most important psychological predictor, fostering real self-presentation but decreasing deceptive self-presentation. The motives of use—hooking up/sex, friendship, relationship, traveling, self-validation, and entertainment—also affect the two forms of self-presentation. Demographic characteristics and psychological antecedents influence the motives for using Tinder, with gender differences being especially pronounced. Women use Tinder more for friendship and self-validation, while men use it more for hooking up/sex, traveling, and relationship seeking. We put the findings into context, discuss the limitations of our approach and provide avenues for future research into the topic.

Understanding the Moderating Impact of Context-Awareness and Ubiquity on Mobile Government Services Adoption

2022 ◽  
Vol 14 (1) ◽  
pp. 0-0
Keyword(s):  
Technology Acceptance ◽  
Context Awareness ◽  
Structural Equation ◽  
Moderating Effect ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Policy Implications ◽  
Equation Modeling ◽  
Future Research ◽  
The Impact

The factors of context-awareness and mobile ubiquity are major components in the development and diffusion of any mobile technology-driven applications and services. Principally in the m-government development space, the issues of context-awareness and ubiquity are crucial if m-government initiatives are to be successful. The moderating effect of context-awareness and ubiquity on mobile government adoption is examined for 409 students from a Chinese University based on the Technology Acceptance Model. Using the Structural Equation Modeling technique, the results indicate that perceived ease of use (PEOU) was significantly related to intention to use, but perceived usefulness (PU) did not have a significant effect on mobile government adoption. The moderating analysis indicated that context-awareness significantly moderated the impact of PU but had no moderating effect on PEOU. Also, it was discovered that ubiquity was significant in moderating both the PEOU and PU on mobile government adoption. Policy implications and directions for future research are presented.

The effect of clustering on competitiveness improvement in Hebron

2017 ◽  
Vol 28 (5) ◽  
pp. 631-654 ◽  
Author(s):  
Ibrahim M. Awad ◽  
Alaa A. Amro
Keyword(s):  
Structural Equation ◽  
Structural Model ◽  
Model Building ◽  
Measurement Model ◽  
Background Information ◽  
Equation Modeling ◽  
Future Research ◽  
Research Model ◽  
Content Type ◽  
The Impact

Purpose The purpose of this paper is to map the cluster in the leather and shoes sector for improving the competitiveness of the firms. Toward this end, the study is organized to examine the impact of clustering on competitiveness improvement. The influence of competitive elements and performance (Porter’s diamond) and balanced score card was utilized. Design/methodology/approach A random sample of 131 respondents was chosen during the period from May 2016 to July 2016. A structural equation modeling (SEM) analysis was applied to investigate the research model. This approach was chosen because of its ability to test casual relationships between constructs with multiple measurement items. Researchers proposed a two-stage model-building process for applying SEM. The measurement model was first examined for instrument validation, followed by an analysis of the structural model for testing associations hypothesized by the research model. Findings The main findings show that there is a unidirectional causal relationship between improvements of performance and achieve competitiveness and also reveal that the Palestinian shoes and leather cluster sector is vital and strong, and conclude that clustering can achieve competitiveness for small- and medium-sized enterprises. Research limitations/implications Future research can examine the relationship between clustering and innovation. The effect of clustering using other clustering models other than Porter’s model is advised to be used for future research. Practical implications The relationships among clustering and competitiveness may provide a practical clue to both, policymakers and researchers on how cluster enhances economic firms such as a skilled workforce, research, development capacity, and infrastructure. This is likely to create assets such as trust, synergy, collaboration and cooperation for improved competitiveness. Originality/value The findings of this study provide background information that can simultaneously be used to analyze relationships among factors of innovation, customer’s satisfaction, internal business and financial performance. This study also identified several essential factors in successful firms, and discussed the implications of these factors for developing organizational strategies to encourage and foster competitiveness.

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.

The impact of family harmony on family SMEs' performance: the mediating role of information technologies

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Vincent Dutot ◽  
Francois Bergeron ◽  
Andrea Calabrò
Keyword(s):  
Organizational Performance ◽  
Information Technologies ◽  
It Governance ◽  
Equation Modeling ◽  
Future Research ◽  
It Strategy ◽  
Content Type ◽  
Family Smes ◽  
Family Harmony ◽  
The Impact

PurposeWith the increasing digitalization processes taking place in different industries, the success of family small and medium-sized enterprises (SMEs) appears to be more under threat than for any other types of organizations, especially when information technologies (ITs) are not adequately used and managed. To grow and increase the chances of survival, family SMEs need more than ever IT. Stemming from agency theory, the aim of this article is to understand whether family harmony impacts the performance of family SMEs and to what extent IT mediates this relationship.Design/methodology/approachThe research follows a quantitative approach, based on a sample of 182 family SMEs. Structured equation modeling, through SmartPLS, was employed to validate the research model.FindingsThis study’s main findings suggest that family harmony positively impacts firm performance and that IT governance and strategy mediate positively this relationship.Research limitations/implicationsFirst, the relatively limited number of respondents limits the degree of representativeness of all family SMEs. Replicating the research with a larger number of respondents could strengthen the findings. Second, this study is limited to French firms and future research could extend the findings by looking at cross-country comparisons.Practical implicationsFamily SMEs are encouraged to link their IT governance with their IT strategy in order to increase their organizational performance. A favorable family harmony will make it easier to choose and implement a richer IT strategy and put in place an adequate IT governance function.Originality/valueThis research offers an enriched knowledge of the roles of family harmony and technological innovation in family SMEs and IT contexts as significant predictors of organizational performance. It contributes to family firm theory through the identification of three determinants of family SMEs' performance.

The Effect of Big Data Analytic Capabilities Upon Bank Performance via FinTech Innovation

2021 ◽  
Vol 13 (4) ◽  
pp. 62-87
Author(s):  
Ahmed Al-Dmour ◽  
Rand H. Al-Dmour ◽  
Hani H. Al-Dmour ◽  
Eatadal Basheer Ahmadamin
Keyword(s):  
Big Data ◽  
United Arab Emirates ◽  
Structural Equation ◽  
Positive Influence ◽  
Equation Modeling ◽  
Bank Performance ◽  
Senior Managers ◽  
Mediating Role ◽  
The Impact

This study aims to examine and validate the impact of big data analytical capabilities (individual, organizational, and technological) on bank performance via the mediating role of Fintech innovation in commercial banks operating in the United Arab Emirates (UAE). Based on a literature review, resource-based theory, and financial innovation theory, an integrated conceptual framework was developed to guide the study. A quantitative survey approach was used, and the data was collected from 236 banks' senior managers (IT, financial, and marketers). Amos 21 structural equation modeling (SEM) was used to analyze and verify the study variables. The main findings revealed that big data analytical capabilities had a significant positive influence on bank performance. Fintech innovation acted as partial mediators in this relationship.

The Role of Usability in E-Commerce Services

2012 ◽  
Vol 8 (4) ◽  
pp. 57-76 ◽  
Author(s):  
Udo Konradt ◽  
Gunther Held ◽  
Timo Christophersen ◽  
Friedemann W. Nerdinger
Keyword(s):  
User Satisfaction ◽  
Structural Equation ◽  
Equation Modeling ◽  
Future Research ◽  
Intention To Use ◽  
Product Involvement ◽  
Behavioral Variables ◽  
Perceived Usability ◽  
The Impact

The authors examined the impact of perceived usability of websites of commercial service vendors on consumer’s affective, intentional, and behavioral variables. Reflective and formative usability measures were used within a nomological network of predictors (trust, reputation, and perceived fun), mediators (user satisfaction, and intention to use), decision to choose as the criteria, product involvement as a moderator, and controls. Results from structural equation modeling revealed that usability holds both direct and indirect paths, via trust and perceived fun, to user satisfaction. User satisfaction was positively related to the intention to use and partially mediated the relation between usability and intention to use. Furthermore, product involvement does not moderate the relation between usability and intention to use and the relation between user satisfaction and intention to use. Finally, intention to use provided an excellent prediction of the decision to choose. Limitations and suggestions for future research are discussed.

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.

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