Understanding consumer motivation to share IoT products data

2020 ◽  
Vol 12 (1) ◽  
pp. 5-22
Author(s):  
Sushant Bhatnagar ◽  
Rajeev Kumra
Keyword(s):  
Latent Variables ◽  
Structural Equation ◽  
Structural Model ◽  
Measurement Model ◽  
Human Interaction ◽  
Third Party ◽  
Equation Modeling ◽  
Product Reviews ◽  
Moral Obligations ◽  
Content Type

Purpose Almost every study undertaken by academicians or practitioners on the Internet of Things (IoT) has mainly highlighted the privacy concerns and information security issues with the IoT products. On the contrary, this paper aims to explore the motivators that could encourage customers of an IoT product to share their IoT product’s data with a third-party aggregator system to facilitate computer-generated product reviews which are defined as electronic Word of Thing (eWOT) in this paper. Design/methodology/approach An experiment was conducted with customized e-commerce prototypes of eWOT. Structural equation modeling analysis was conducted to test the measurement model by using confirmatory factor analysis and thereafter a structural model to test the relationships amongst the latent variables. Findings This paper found that five consumer motivators (personal innovativeness, enjoyment of helping, anticipated extrinsic rewards, moral obligations and venting negative feelings) contribute to eWOT intention. Practical implications This research advances the understanding of human interaction with computer-generated product reviews and opens up avenues for future studies in online consumer behavior in the IoT context. Originality/value This paper presents motivators for eWOT intention to share IoT product data. This is done through a novel concept of an experimental IoT-based prototype, namely, eWOT. These eWOT reviews can be generated from the IoT products data by applying analytics and using natural language generation. To the best of the authors’ knowledge, no other study has been conducted on this subject.

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.

“Can you do something about the price?” – Exploring the Indian deal and bargaining-prone customer

2015 ◽  
Vol 32 (5) ◽  
pp. 356-366 ◽  
Author(s):  
Jagrook Dawra ◽  
Kanupriya Katyal ◽  
Vipin Gupta
Keyword(s):  
Factor Analysis ◽  
Structural Equation ◽  
Structural Model ◽  
Measurement Model ◽  
Two Dimensions ◽  
Equation Modeling ◽  
Special Treatment ◽  
Content Type ◽  
Customer Base ◽  
Value Consciousness

Purpose – The paper aims to study how deal- and bargaining-prone customers are different from each other. This paper brings out this difference based on psychographics encompassing values – consciousness, price mavenism and personality orientations – needed for special treatment (distinctiveness and play). Design/methodology/approach – The measurement model was assessed using both exploratory factor analysis and confirmatory factor analysis. The structural model was tested using structural equation modeling. Findings – This paper finds that value consciousness is a two-dimensional construct in the Indian context. This construct comprises two dimensions of value consciousness, including concern for price and concern for quality. The authors find that deal-prone customers are value conscious and price mavens. Bargaining-prone customers are value-conscious price mavens and have a high need for special treatment (play). Play orientation distinguishes between a deal-prone and a bargaining-prone customer. Research limitations/implications – The study was limited to grocery products. The consumers surveyed were urban and educated Indians. Practical implications – With the Indian markets being opened for Western retailers, it is imperative to study the Indian consumers. It is important to understand why the local neighborhood store is able to retain its customer base even when the organized fixed-price formats have been around for approximately 20 years. Originality/value – This is one of the few papers that tries to understand the Indian consumer’s buying behavior, especially with respect to their haggling nature. This paper further develops our understanding of the “deal proneness” and “bargaining proneness” constructs. The authors also study their differences based on psychographics.

Case study of a structural model to explore the effects of knowledge sharing on intellectual capital

2016 ◽  
Vol 46 (3) ◽  
pp. 338-352 ◽  
Author(s):  
Peyman Akhavan ◽  
Farnoosh Khosravian
Keyword(s):  
Structural Equation Modeling ◽  
Knowledge Sharing ◽  
Intellectual Capital ◽  
Structural Equation ◽  
Structural Model ◽  
Measurement Model ◽  
Equation Modeling ◽  
Extensive Literature ◽  
Content Type

Purpose It is commonly known that intellectual capital (IC) plays a remarkable role in organizations, especially in colleges and academic centers. The purpose of this study is to investigate the effects of knowledge sharing (KS) on IC. Design/methodology/approach Based on the extensive literature review, a questionnaire was designed. The questions were composed of two parts; KS questions and IC questions. In total, 352 students completed questionnaires in the Shahinshahr branch of Payam-e-Noor University. Structural equation modeling was used to develop the measurement model. Findings The findings showed that KS has a significant positive correlation with IC and its dimensions. The structural equation modeling confirmed the research model and showed a good match with it. Originality/value Given that this study aimed to examine KS and IC, it implies that with optimized knowledge management in universities, providing the infrastructures of KS and strengthening students’ motivational factors, KS capacities can be enhanced and IC of universities would be strengthened.

Development of structural equation model for Lean Six Sigma system incorporated with sustainability considerations

2020 ◽  
Vol 11 (4) ◽  
pp. 687-710 ◽  
Author(s):  
Ben Ruben R. ◽  
S. Vinodh ◽  
Asokan P.
Keyword(s):  
Organizational Performance ◽  
Six Sigma ◽  
Structural Equation ◽  
Structural Model ◽  
Sustainable Manufacturing ◽  
Measurement Model ◽  
Lean Six Sigma ◽  
Equation Modeling ◽  
Content Type ◽  
Manufacturing Organizations

Purpose The study aims to describe the development of a structural measurement model using structural equation modeling technique to validate the association that exists between Lean Six Sigma (LSS) and sustainable manufacturing strategies. Design/methodology/approach Both LSS and sustainable manufacturing aim at improving the firm’s business competitiveness which forms a strategic link that benefits the manufacturing organizations. The study aims to investigate the relationship among constructs that leads to operational excellence while deploying LSS and sustainable manufacturing strategies in organizations. Findings Empirical data needed for the study are collected from experts belonging to various industries that are implementing both LSS and sustainable manufacturing practices. Later statistical estimates (hypotheses) are being formulated to confirm the developed measurement model. Based on the obtained results after analysis of the structural model, the statistical estimate is either being accepted or rejected. Results of this study reveal that there exists a strong correlation between LSS and sustainable manufacturing factors that leads to organizational performance. Research limitations/implications Additional indicators could be included to deal with technological advancements in sustainable manufacturing. Practical implications The study has been done with regard to Indian automotive component manufacturing organizations scenario. Hence, the inferences derived have practical relevance. Originality/value The development of structural model for the Lean Six Sigma system with sustainability considerations is the original contribution of the authors.

scholarly journals ANALISIS STRUCTURAL EQUATION MODELING (SEM) DENGAN MULTIPLE GROUP MENGGUNAKAN R

2019 ◽  
Vol 19 (2) ◽  
pp. 85
Author(s):  
Holipah Holipah ◽  
I Made Tirta ◽  
Dian Anggraeni
Keyword(s):  
Latent Variables ◽  
Structural Equation ◽  
Structural Model ◽  
Measurement Model ◽  
Equation Modeling ◽  
Multiple Group ◽  
Indicator Variables ◽  
Group 2 ◽  
Homogeneous Data ◽  
Group 1

Structural Equation Model (SEM) is a statistical technique with simultaneous processing involves measurement errors, indicator variables, and latent variables. SEM is used to test hypotheses that state the relationships between latent variables when latent variables have been assessed through each of the indicator variables. Multiple Group SEM is a basic model analysis that uses more than one sample. This analysis aims to determine whether the components or models of measurement and structural models are invariant for the two sample groups. In this study, the data generated by some requirements. First, the data generated with sample size n = 250. The first generated data is homogeneous data where the measurement model is the same as the structural model in group 1 and group 2, while the second data is non-homogeneous data where the measurement model and the structural model in group 1 and group 2 is not the same. The data was analyzed using the help of the lavaan package available in R to obtain SEM estimation results and Goodness of Fit Model from some data that was formed. From the results of the merger of the two groups, it shows that the invariant of the two models with the largest df (63) which is Fit Mean model states the simplest model. However, the smallest df (48) with Fit.configural model states the most complex model. Keywords: SEM, Multiple Group, R Program

Structural Equation Modeling in Special Education Research

1995 ◽  
Vol 16 (3) ◽  
pp. 178-183 ◽  
Author(s):  
Alan D. Moore
Keyword(s):  
Special Education ◽  
Education Research ◽  
Structural Equation Modeling ◽  
Experimental Research ◽  
Latent Variables ◽  
Structural Equation ◽  
Structural Model ◽  
Multivariate Data ◽  
Measurement Model ◽  
Equation Modeling

Structural equation modeling is a method for analysis of multivariate data from both nonexperimental and experimental research. the method combines a structural model linking latent variables and a measurement model linking observed variables with latent variables. its use in special education research has been limited to date, but the approach offers promise as a method useful in theory-based research. a nontechnical introduction to the method and cautions concerning the limits of its use are presented.

scholarly journals How job-related diversity affects boards’ strategic tasks performance: the role of chairperson

2020 ◽  
Vol 20 (4) ◽  
pp. 583-599 ◽  
Author(s):  
Sadi Boğaç Kanadlı ◽  
Pingying Zhang ◽  
Nada K. Kakabadse
Keyword(s):  
Structural Equation ◽  
Structural Model ◽  
Measurement Model ◽  
Equation Modeling ◽  
Board Diversity ◽  
Leadership Efficacy ◽  
Content Type ◽  
Board Leadership ◽  
The Impact

Purpose Board diversity has been a hotly debated topic in the field of corporate governance. The paper examines the role of board chairperson and its moderating effect on the relationship between job-related diversity and boards’ strategic tasks performance. The purpose of this paper is to add on our body of knowledge about the impact of job-related diversity on boards’ strategic tasks performance. Design/methodology/approach The paper applies the structural equation modeling (SEM) technique to examine survey responses from chief executive officers (CEOs). Both the measurement model and structural model have obtained good results, supporting the appropriateness of using the SEM approach. Findings The findings suggest that there is a positive association between job-related diversity and boards’ strategic tasks performance, which is moderated by a chairperson’s leadership efficacy and the option of a former-CEO as board chair. Practical implications To achieve the intended effect of job-related diversity in boards, policymakers need to be mindful about the importance of the board chairperson. Board chairperson’s characteristics such as leadership efficacy and a former-CEO experience would amplify the positive effect of diversity. Originality/value This research paper contributes to the literature on board diversity, board leadership and strategic management of firms. Findings validated researchers’ concern about the negligence of examining moderating factors in board diversity research. Moreover, results echo the concern that board leadership research should shift the attention from structural aspects to the behavioral issues. Finally, this study is the first to show the positive influence of a board chairperson in disseminating benefits of a diverse board.

Investigating technology and organizational performance of private higher learning institutions in Malaysia

2019 ◽  
Vol 36 (5) ◽  
pp. 453-466 ◽  
Author(s):  
Josephine Chan Ie Lyn ◽  
Rajendran Muthuveloo
Keyword(s):  
Technology Management ◽  
Organizational Performance ◽  
Structural Equation ◽  
Structural Model ◽  
Measurement Model ◽  
Business Environment ◽  
Higher Learning ◽  
Equation Modeling ◽  
Content Type ◽  
Learning Institutions

Purpose The purpose of this paper is to investigate the influence of technology on organizational performance of private higher learning institutions (HLIs) in Malaysia and to determine the area of focus for private HLIs in Malaysia. Design/methodology/approach Data collection was carried out over two months through an online self-administered questionnaire and yielded 155 samples. Subsequently, the partial least squares structural equation modeling (PLS-SEM) was used to test the reflective measurement model and the structural model for validity, reliability and hypotheses, respectively. Findings This paper discovered that between the two constructs of technology tested (technology management and technology usage), only technology management influenced organizational performance. Originality/value As Industry 4.0 is disrupting the existing business environment, inquiring into the influence of technology is of critical importance for the organizational performance of private HLIs in Malaysia. This paper provides a different perspective of how technology affects the overall organizational performance of private HLIs which differs from past studies which focused more on the effects of technology on individuals such as teachers/instructors and learners.

Drivers of logistics outsourcing: examining transaction costs, core competences and planned behavior

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Oskari Rintala ◽  
Tomi Solakivi ◽  
Sini Laari ◽  
Juuso Töyli ◽  
Lauri Ojala
Keyword(s):  
Supply Chain ◽  
Planned Behavior ◽  
Structural Equation ◽  
Structural Model ◽  
Third Party ◽  
Equation Modeling ◽  
Manufacturing Companies ◽  
Logistics Outsourcing ◽  
Content Type ◽  
The Core Competence

PurposeThis study aims to investigate the extent to which psychological factors and the agency of decision-makers drive outsourcing decisions. Arguments based on transaction cost economics, the core competence approach and the theory of planned behavior are used to explain logistics outsourcing.Design/methodology/approachThe literature was reviewed to identify constructs that are antecedents of logistics outsourcing intentions, and corresponding measures were developed. The data were gathered through a survey of supply chain professionals in Finnish manufacturing companies. A measurement model was reviewed to ensure reliability and validity and converted into a structural model for analysis. The analysis was based on partial least squares (PLS) structural equation modeling.FindingsSupply chain managers objectively consider the characteristics of their organization's logistics identified in previous research as requiring assessment during the outsourcing process. However, and surprisingly, they also tend to rely on behavioral subjective factors such as positive attitudes, encouraging subjective norms and competence. Moreover, it seems that firms do not outsource logistics activities despite the high strategic importance of the function, but because of it.Research limitations/implicationsThe constructed model is limited to the constructs chosen to represent drivers of logistics outsourcing. Further application with more samples would improve its reliability.Practical implicationsThe factors proposed here with respect to assets and the capabilities of third-party partners could facilitate decision-making related to logistics outsourcing.Originality/valueThe findings emphasize the role of behavioral factors in the procurement function and therefore enhance the understanding of behavioral supply chain management.

Application of Structural Equation Modeling to Health Outcomes Research

2005 ◽  
Vol 28 (3) ◽  
pp. 295-309 ◽  
Author(s):  
Ron D. Hays ◽  
Dennis Revicki ◽  
Karin S. Coyne
Keyword(s):  
Health Outcome ◽  
Structural Equation Modeling ◽  
Health Outcomes ◽  
Outcomes Research ◽  
Latent Variables ◽  
Structural Equation ◽  
Structural Model ◽  
Measurement Model ◽  
Equation Modeling ◽  
Health Outcomes Research

This article provides an overview of the basic underlying principles of structural equation modeling (SEM). SEM models have two basic elements: a measurement model and a structural model. The measurement model describes the associations between the indicators (observed measures) of the latent variables, whereas the structural model delineates the direct and indirect substantive effects among latent variables and between measured and latent variables. The application of SEM to health outcomes research is illustrated using two examples: (a) assessing the equivalence of the SF-36 and patient evaluations of care for English- and Spanish-language respondents and (b)evaluating a theoretical model of health in myocardial infarction patients. The results of SEM studies can contribute to better understanding of the validity of health outcome measures and of relationships between physiologic, clinical, and health outcome variables.

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