The questionnaire method in systems research: an overview of sample sizes, response rates and statistical approaches utilized in studies

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Brady Lund
Keyword(s):  
Structural Equation Modeling ◽  
Information Systems ◽  
Statistical Analysis ◽  
Structural Equation ◽  
Response Rate ◽  
Response Rates ◽  
Equation Modeling ◽  
Sample Sizes ◽  
Content Type ◽  
Typical Sample

Purpose The purpose of this study is to identify typical sample sizes and response rates in questionnaire research studies within the discipline of information systems, as well as the top statistical analyses utilized for questionnaire data in these studies. Design/methodology/approach A total of 842 articles published between the years of 2000 and 2019 were identified that met the criteria of using a questionnaire as the research method. These articles were analyzed based on the sample size, response rate (if applicable) and statistical analysis methods used. Findings The typical questionnaire study received between 136 (first quartile) and 374 (third quartile) respondents, with a median number of 217. Typical response rate ranged between 16.5% and 50.0%, with a median of 27.8%. it was found that articles published in journals included in the Social Science Citation Index had significantly larger numbers of respondents than those not included in the index, though no difference was found for response rate. Studies that utilized more advanced statistical methods (regression analysis, structural equation modeling) were found to have significantly larger sample sizes than those that utilized only descriptive statistics or t-tests. Structural equation modeling, including the partial least squares approach, was used in the largest number of studies. Originality/value This study is the first to broadly examine the typical sample size, response rates and methods of statistical analysis used in information systems questionnaire studies. The findings of this study may be useful for systems researchers in developing appropriate procedures for questionnaire-based research.

Partial least squares structural equation modeling (PLS-SEM)

2014 ◽  
Vol 26 (2) ◽  
pp. 106-121 ◽  
Author(s):  
Joe F. Hair Jr ◽  
Marko Sarstedt ◽  
Lucas Hopkins ◽  
Volker G. Kuppelwieser
Keyword(s):  
Structural Equation Modeling ◽  
Information Systems ◽  
Least Squares ◽  
Partial Least Squares ◽  
Structural Equation ◽  
Management Information Systems ◽  
Marketing Management ◽  
Equation Modeling ◽  
Management Information ◽  
Content Type

Purpose – The authors aim to present partial least squares (PLS) as an evolving approach to structural equation modeling (SEM), highlight its advantages and limitations and provide an overview of recent research on the method across various fields. Design/methodology/approach – In this review article, the authors merge literatures from the marketing, management, and management information systems fields to present the state-of-the art of PLS-SEM research. Furthermore, the authors meta-analyze recent review studies to shed light on popular reasons for PLS-SEM usage. Findings – PLS-SEM has experienced increasing dissemination in a variety of fields in recent years with nonnormal data, small sample sizes and the use of formative indicators being the most prominent reasons for its application. Recent methodological research has extended PLS-SEM's methodological toolbox to accommodate more complex model structures or handle data inadequacies such as heterogeneity. Research limitations/implications – While research on the PLS-SEM method has gained momentum during the last decade, there are ample research opportunities on subjects such as mediation or multigroup analysis, which warrant further attention. Originality/value – This article provides an introduction to PLS-SEM for researchers that have not yet been exposed to the method. The article is the first to meta-analyze reasons for PLS-SEM usage across the marketing, management, and management information systems fields. The cross-disciplinary review of recent research on the PLS-SEM method also makes this article useful for researchers interested in advanced concepts.

Teachers' digital technology access to motivation, skills and use: a structural equation modeling study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Akhmad Habibi ◽  
Mohd Faiz Mohd Yaakob ◽  
Amirul Mukminin ◽  
Muhaimin Muhaimin ◽  
Lantip Diat Prasojo ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Digital Technology ◽  
Structural Equation ◽  
Structural Model ◽  
Teaching Experience ◽  
Equation Modeling ◽  
Technology Access ◽  
School Location ◽  
Content Type ◽  
Instructional Use

PurposeThe current study aimed to develop and validate a scale to model factors affecting digital technology access for instructional use. The scale was mainly used to assess the structural model. Besides, tests of difference were addressed regarding digital technology access for instructional use based on gender, teaching experience and school location.Design/methodology/approachThe authors implemented a survey design in this study. A scale based on prior studies was developed, validated and piloted. The pilot study data were computed for an exploratory factor analysis. Further, partial least squares structural equation modeling (PLS-SEM) and t-test procedures were used for the main data analysis (n.2677). The authors also included the importance-performance map analysis to extend of the results of the PLS-SEM.FindingsThe findings of the study successfully assessed the validity and reliability of the scale. All hypothetical relationships in the structural model were positively significant. The t-test results show that teaching experience and school location were significantly different regarding instructional use access; however, an insignificant difference emerged based on gender.Practical implicationsFailure in technology integration is possible if policies have not been carefully prepared. Therefore, users' perception is an essential factor in determining technology integration, including access to digital technology.Originality/valueThis research has the potential to enhance the understanding of access to digital technology in the context of developing countries by the elaboration of the proposed model's instrument development and validation, path analysis assessment and difference test examination with a large sample size. Also, the current study emphasizes the importance of raising awareness about digital technology access that the model can facilitate a valid and reliable foundation for future researchers interested in conducting similar types of research.

Should I suggest this YouTube clip? The impact of UGC source credibility on eWOM and purchase intention

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mazzini Muda ◽  
Muhammad Iskandar Hamzah
Keyword(s):  
Social Media ◽  
Structural Equation Modeling ◽  
Purchase Intention ◽  
Structural Equation ◽  
Word Of Mouth ◽  
Source Credibility ◽  
Equation Modeling ◽  
Content Type ◽  
The Social ◽  
The Impact

PurposeIn spite of the increasing organic and interactive marketing activities over social media, a general understanding of the source credibility of voluntary user-generated content (UGC) is still limited. In line with the social identity theory, this paper examines the effects of consumers' perceived source credibility of UGC in YouTube videos on their attitudes and behavioral intentions. Additionally, source homophily theory is included to predict the antecedent of source credibility.Design/methodology/approachThree hundred and seventy two Generation Y respondents were interviewed using snowball sampling. Data were analyzed with component-based structural equation modeling technique of partial least squares-structural equation modeling (PLS-SEM).FindingsFindings confirmed that perceived source credibility indirectly affects purchase intention (PI) and electronic word-of-mouth via attitude toward UGC. Besides, perceived source credibility mediates the effect of perceived source homophily on attitude toward UGC.Practical implicationsSince today's consumers have begun to trust and rely more on UGC than company-generated content on social media when making purchase decisions, companies may reconsider democratizing certain aspects of their branding strategies. Firms may fine-tune their marketing communication budgets – not only just by sponsoring public figures and celebrities but also by nurturing coproductive engagements with independent content creators who are ordinary consumers. Endowed with their imposing credibility, these micro-influencers and prosumers have high potentials to be uplifted to brand ambassadors.Originality/valueWhile consumers' purchase outcome can be measured easily using metrics and analytics, the roles of source homophily in stages leading up to the purchase is still elusive. Drawing on the rich theoretical basis of source homophily may help researchers to understand not only how credibility and attitude are related to PI but also how this nexus generates positive word of mouth among UGC followers within the social media circles.

Comparing the service experience of satisfied and non-satisfied customers in the context of wine tasting rooms using the SERVQUAL model

2019 ◽  
Vol 32 (2) ◽  
pp. 301-324
Author(s):  
Matti Haverila ◽  
Kai Haverila ◽  
Mehak Arora
Keyword(s):  
Structural Equation Modeling ◽  
Customer Satisfaction ◽  
Structural Equation ◽  
Design Methodology ◽  
Equation Modeling ◽  
Value For Money ◽  
Service Experience ◽  
Content Type ◽  
Survey Results ◽  
Repurchase Intent

Purpose The purpose of this study is to compare satisfied and non-satisfied customers in the context of wine tasting rooms using the SERVQUAL model and to examine the relationships in the model in terms of service experience to better understand customer needs. Design/methodology/approach The data used in this study were derived from a survey conducted among wineries in British Columbia, Canada. Analysis of survey results using the partial least squares structural equation modeling was undertaken. Sample size was 402. Findings The findings show that the SERVQUAL constructs that had the most impact on customer satisfaction and dissatisfaction were tangibility and assurance. Somewhat surprisingly, the perceived value for money construct was not significantly related to customer satisfaction but was significantly related to repurchase intent. Furthermore, all SERVQUAL constructs, except the reliability construct, were significantly related to customer satisfaction. Originality/value This study provides an overview of how wineries can improve their services to increase the number of satisfied customers.

Structural equation modeling of residents' attitudes and tourism development: a SET based - study of the Kashmir region in India

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Aasif Ali Bhat ◽  
Kakali Majumdar
Keyword(s):  
Structural Equation Modeling ◽  
Social Exchange ◽  
Structural Equation ◽  
Social Exchange Theory ◽  
Tourism Development ◽  
Exchange Theory ◽  
Primary Data ◽  
Equation Modeling ◽  
Content Type ◽  
The Social

PurposeThe present study tries to develop a model that assesses the factors that determine support for tourism development by residents of the Kashmir region.Design/methodology/approachPrimary data have been collected (n = 650) from the residents of the top five tourist destinations through a pre-tested questionnaire by a multistage convenient sampling method. A model has been drafted and tested through the technique of structural equation modeling by applying the social exchange theory as a theoretical framework.FindingsThe results revealed that residents who perceived more benefits were more expected to support tourism development, and residents who perceive more costs were less expected to support tourism development, thus supporting the social exchange theory.Originality/valueThe results of this study are extremely useful for the local government and tourism institutions in the future planning of tourism development and also fill the vast gap in the tourism literature with a theoretical base.

An Introduction to Structural Equation Modeling (SEM) and the Partial Least Squares (PLS) Methodology

2011 ◽  
pp. 110-129 ◽  
Author(s):  
Nicholas J. Ashill
Keyword(s):  
Structural Equation Modeling ◽  
Information Systems ◽  
Organizational Behavior ◽  
Least Squares ◽  
Partial Least Squares ◽  
Structural Equation ◽  
Academic Research ◽  
Equation Modeling ◽  
Formative Measurement ◽  
Statistical Assumptions

Over the past 15 years, the use of Partial Least Squares (PLS) in academic research has enjoyed increasing popularity in many social sciences including Information Systems, marketing, and organizational behavior. PLS can be considered an alternative to covariance-based SEM and has greater flexibility in handling various modeling problems in situations where it is difficult to meet the hard assumptions of more traditional multivariate statistics. This chapter focuses on PLS for beginners. Several topics are covered and include foundational concepts in SEM, the statistical assumptions of PLS, a LISREL-PLS comparison and reflective and formative measurement.

Cyber incivility and knowledge hoarding: Does interactional justice matter?

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nader Mohammad Aljawarneh ◽  
Khaled Abd kader Alomari ◽  
Ziyad Saleh Alomari ◽  
Omar Taha
Keyword(s):  
Structural Equation Modeling ◽  
Social Exchange ◽  
Structural Equation ◽  
Interactional Justice ◽  
Theory And Practice ◽  
Equation Modeling ◽  
Telecommunication Service ◽  
Strong Impact ◽  
Content Type ◽  
Knowledge Hoarding

Purpose The current explanations in the cyber incivility and knowledge hoarding literature suffer from two problems. The first is a lack of cogent explanation of cyber incivility and knowledge hoarding from social exchange theory (SET) perspective. The second is the unexplained attenuating propensity of justice on the connection between cyber incivility and knowledge hoarding, more specifically, interactional justice. Design/methodology/approach This paper uses a simple random sampling method to obtain cross-sectional data from 223 employees working in IT and telecommunication service companies in Jordan. The obtained data were analyzed using partial least squares structural equation modeling (PLS-SEM) technique also known as variance-based structural equation modeling. Findings By applying SET theoretical lens and PLS-SEM, the authors show that cyber incivility exerts strong impact on knowledge hoarding, and interactional justice may not always function as a buffer. That is, the association between cyber incivility and knowledge hoarding is not impacted by interactional justice levels. Originality/value The contribution of this paper builds on the lack of practical comprehension on the association between cyber incivility and knowledge hoarding and the role played by interactional justice. Implications for theory and practice are discussed.

How avatars create identification and loyalty among online gamers

2019 ◽  
Vol 29 (6) ◽  
pp. 1443-1468 ◽  
Author(s):  
Ching-I Teng
Keyword(s):  
Structural Equation Modeling ◽  
Electronic Commerce ◽  
Physical Attractiveness ◽  
Structural Equation ◽  
Design Methodology ◽  
Role Playing ◽  
Online Games ◽  
Equation Modeling ◽  
Content Type ◽  
Role Playing Game

Purpose Online games are popular electronic commerce platforms in which gamers use avatars to interact with others. Avatar identification (the extent to which gamers regard avatars as an extension of themselves) is known to be related to online gamer loyalty. However, few studies have examined how avatars could be designed to enhance avatar identification and online gamer loyalty, indicating a gap. Therefore, the purpose of this paper is to contextualize self-affirmation theory into online gaming contexts, identified key theoretical elements and examined how they are related to avatar identification and online gamer loyalty. Design/methodology/approach This study surveyed 1,348 massively multi-player online role-playing game players, and their responses were analyzed using structural equation modeling. Findings The analytical results indicate that irreplaceability within a team and avatar customization are positively related to unique avatar image, while avatar customization is positively related to positive avatar image. Moreover, avatar physical attractiveness and avatar ability to achieve are positively related to positive avatar image. Both unique and positive images of an avatar (as perceived by the user) are positively related to avatar identification, and further to online gamer loyalty. Originality/value This study proposes new constructs: irreplaceability within a team, avatar ability to achieve, unique avatar image and positive avatar image. Such new constructs provide insights to aid electronic commerce managers in avatar design, thus instilling gamer identification with avatars, and thus loyalty.

Evaluation of knowledge management practices - a leather industry context

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Srinivasan P.
Keyword(s):  
Knowledge Management ◽  
Structural Equation Modeling ◽  
Organizational Performance ◽  
Structural Equation ◽  
Influential Factor ◽  
Equation Modeling ◽  
Survey Method ◽  
Leather Industry ◽  
Content Type ◽  
The Impact

Purpose The purpose of this paper is to analyze the impact of knowledge management (KM) in terms of organizational performance using structural equation modeling. To enhance organizational performance, KM is used as a powerful strategic tool. The factors such as management commitment, leadership and organizational culture are the KM enabler’s conditions, and the step processes of KM are knowledge capture, creation, organizing/storing and transfer, and through this, KM is analyzed on organizational performance in the context of leathers manufacturing company. This study constructs with questionnaire consist of 34 variables. Design/methodology/approach There are about 101 samples that were collected through the questionnaire survey method in the leather companies in Ranipet. The data were collected from executives and associates in the leather companies. Data were analyzed using the SPSS tool and SMART PLS tool used for framing a research model and the hypothesized relationships were tested through partial least squares structural equation modeling technique. Findings The finding of this study is mandatory to implement a structured KM practice in the leather companies. Application of KM is quite an impact on organizational performance, which leads to profitability and productivity. Originality/value This is the first paper to empirically investigate the KM enablers, process and support for the role of KM practices at leather industry. Further, the positioning of KM practices as a strategic competitive tool can be considered as an influential factor to organizational performance.

Spectator satisfaction model for mass participant sport events: antecedents and consequences

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yanling Duan ◽  
Bing Liu
Keyword(s):  
Structural Equation Modeling ◽  
Behavioral Intentions ◽  
Structural Equation ◽  
Equation Modeling ◽  
Content Type ◽  
Antecedents And Consequences ◽  
Sport Events ◽  
Event Image ◽  
Satisfaction Model ◽  
Participant Sport

PurposeThe purpose of this paper is to propose and examine an integrated model of spectator satisfaction in mass participant sport events.Design/methodology/approachThe Wuhan marathon, held in the middle of China, was selected serve for the study to examine the antecedents and consequences of spectator satisfaction at mass participant sport events. Data were collected from 956 spectators of the event on the day of the race. Structural equation modeling was used to examine the research model proposed by this study.FindingsStructural equation modeling results indicate the following. First, the event image and perceived social impact of the event are important predictive factors of spectator satisfaction. Second, spectator satisfaction is positively associated with behavioral intentions toward the event and the sponsors' product. Third, spectator satisfaction plays a significant mediating role between the antecedents and consequences; specifically, compared to perceived social impacts of the event, event image has greater indirect effects on both event-related behavioral intentions and event sponsors' products.Originality/valueUntil now, there has not been an integrated research study on the sport spectator satisfaction model in the context of mass participant sport events. This paper thus extends the understanding of the spectator satisfaction in the context of mass participant sport events, and the findings provide valuable implications for holding cities and event organizers of mass participant sport events in emerging countries.

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