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JournalISSN: 0263-5577

Industrial Management and Data Systems 

Emerald Publishing Limited
About: Industrial Management and Data Systems is an academic journal published by Emerald Publishing Limited. The journal publishes majorly in the area(s): Supply chain & Supply chain management. It has an ISSN identifier of 0263-5577. Over the lifetime, 2436 publications have been published receiving 109704 citations. The journal is also known as: Industrial management & data systems & Industrial management and data systems.


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Journal ArticleDOI
TL;DR: This paper presents new developments, such as consistent PLS, confirmatory composite analysis, and the heterotrait-monotrait ratio of correlations, and updated guidelines of how to use PLS and how to report and interpret its results.
Abstract: Purpose – Partial least squares (PLS) path modeling is a variance-based structural equation modeling (SEM) technique that is widely applied in business and social sciences. Its ability to model composites and factors makes it a formidable statistical tool for new technology research. Recent reviews, discussions, and developments have led to substantial changes in the understanding and use of PLS. The paper aims to discuss these issues. Design/methodology/approach – This paper aggregates new insights and offers a fresh look at PLS path modeling. It presents new developments, such as consistent PLS, confirmatory composite analysis, and the heterotrait-monotrait ratio of correlations. Findings – PLS path modeling is the method of choice if a SEM contains both factors and composites. Novel tests of exact fit make a confirmatory use of PLS path modeling possible. Originality/value – This paper provides updated guidelines of how to use PLS and how to report and interpret its results.

3,251 citations

Journal ArticleDOI
TL;DR: Jenny Preece provides readers with an in-depth look at the design of effective online communities and details the enabling technologies behind some of the most successful online communities.
Abstract: From the Publisher: Learn the enabling technologies behind some of the most successful online communities Although the Internet has grown considerably, people are still looking for more effective methods of communicating over it. This has become a hot topic among Web developers as they look for new enabling technologies. Well-respected author Jenny Preece provides readers with an in-depth look at the design of effective online communities. She evaluates these communities and then details the enabling technologies. Analysis is also included to explain what these technologies are capable of doing and what they actually should do. Companion Web site contains a forum for discussions on experiences setting up and running online communities

1,973 citations

Journal ArticleDOI
TL;DR: The results indicate an increased maturity of the IS field in using PLS-SEM for model complexity and formative measures and not just small sample sizes and non-normal data and demonstrate the continued use and acceptance of PLS -SEM as an accepted research method within IS.
Abstract: Following the call for awareness of accepted reporting practices by Ringle, Sarstedt, and Straub in 2012, the purpose of this paper is to review and analyze the use of partial least squares structural equation modeling (PLS-SEM) in Industrial Management & Data Systems (IMDS) and extend MIS Quarterly (MISQ) applications to include the period 2012-2014.,Review of PLS-SEM applications in information systems (IS) studies published in IMDS and MISQ for the period 2010-2014 identifying a total of 57 articles reporting the use of or commenting on PLS-SEM.,The results indicate an increased maturity of the IS field in using PLS-SEM for model complexity and formative measures and not just small sample sizes and non-normal data.,Findings demonstrate the continued use and acceptance of PLS-SEM as an accepted research method within IS. PLS-SEM is discussed as the preferred SEM method when the research objective is prediction.,This update on PLS-SEM use and recent developments will help authors to better understand and apply the method. Researchers are encouraged to engage in complete reporting procedures.,Applications of PLS-SEM for exploratory research and theory development are increasing. IS scholars should continue to exercise sound practice by reporting reasons for using PLS-SEM and recognizing its wider applicability for research. Recommended reporting guidelines following Ringle et al. (2012) and Gefen et al. (2011) are included. Several important methodological updates are included as well.

1,439 citations

Journal ArticleDOI
TL;DR: This study illustrates the state-of-the-art use of mediation analysis in the context of PLS-structural equation modeling (SEM) by challenging the conventional approach to mediation analysis and providing more accurate alternatives.
Abstract: Indirect or mediated effects constitute a type of relationship between constructs that often occurs in partial least squares (PLS) path modeling. Over the past few years, the methods for testing mediation have become more sophisticated. However, many researchers continue to use outdated methods to test mediating effects in PLS, which can lead to erroneous results. One reason for the use of outdated methods or even the lack of their use altogether is that no systematic tutorials on PLS exist that draw on the newest statistical findings. The paper aims to discuss these issues.,This study illustrates the state-of-the-art use of mediation analysis in the context of PLS-structural equation modeling (SEM).,This study facilitates the adoption of modern procedures in PLS-SEM by challenging the conventional approach to mediation analysis and providing more accurate alternatives. In addition, the authors propose a decision tree and classification of mediation effects.,The recommended approach offers a wide range of testing options (e.g. multiple mediators) that go beyond simple mediation analysis alternatives, helping researchers discuss their studies in a more accurate way.

1,146 citations

Journal ArticleDOI
TL;DR: The research revealed that relative advantage, top management support, firm size, competitive pressure, and trading partner pressure characteristics have a significant effect on the adoption of cloud computing.
Abstract: – The purpose of this paper is to investigate the factors that affect the adoption of cloud computing by firms belonging to the high‐tech industry. The eight factors examined in this study are relative advantage, complexity, compatibility, top management support, firm size, technology readiness, competitive pressure, and trading partner pressure., – A questionnaire‐based survey was used to collect data from 111 firms belonging to the high‐tech industry in Taiwan. Relevant hypotheses were derived and tested by logistic regression analysis., – The findings revealed that relative advantage, top management support, firm size, competitive pressure, and trading partner pressure characteristics have a significant effect on the adoption of cloud computing., – The research was conducted in the high‐tech industry, which may limit the generalisability of the findings., – The findings offer cloud computing service providers with a better understanding of what affects cloud computing adoption characteristics, with relevant insight on current promotions., – The research contributes to the application of new technology cloud computing adoption in the high‐tech industry through the use of a wide range of variables. The findings also help firms consider their information technologies investments when implementing cloud computing.

995 citations

Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
202352
2022132
2021109
2020117
2019130
201878