Applying the time continuum model of motivation to explain how major factors affect mobile learning motivation: a comparison of SEM and fsQCA

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Fan Mingyue ◽  
Juliet Wanza Ndavi ◽  
Sikandar Ali Qalati ◽  
Lin Huang ◽  
Pu Zhengjia
Keyword(s):  
Peer Review ◽  
Mobile Learning ◽  
Structural Equation ◽  
Continuum Model ◽  
Qualitative Comparative Analysis ◽  
Learning Motivation ◽  
Equation Modeling ◽  
Content Type ◽  
Major Factors ◽  
Time Continuum

PurposeStudying mobile learning – the use of electronic devices (i.e. cellphone and tablets) to engage in learning across multiple contexts via connection to peers, media, experts and the larger world is a relatively new academic enterprise. This study analyzes the influencing factors of mobile learning (M-learning) motivation based on the time continuum model of motivation (TCMM).Design/methodology/approachThe study uses structural equation modeling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA) to verify relationships between mobile learning motivation, attitude, need, stimulation, emotion, ability and reinforcement. Justification for the use of both methods lies in the complementarity relationships that existed between the variables and research methodologies. The sample contains 560 mobile learners' feedback.FindingsResults show that attitude, need, emotion, ability and reinforcement are important factors to enhance mobile learning motivation, while stimulation is not.Practical implicationsThis work highlights the importance of training for app designers on how to design an M-learning App with high learning motivation by paying prior attention to learning content, teaching team and online learning communities.Originality/valueThis study proposes three precise solutions (scholars, managers and practitioners) to improve learning motivation based on the categorization of mobile learners.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-04-2021-0226.

scholarly journals E-waste-word of mouth (EW-WOM) generation: a fuzzy set qualitative comparative analysis (fs/QCA)

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sajad Rezaei ◽  
Ree Chan Ho
Keyword(s):  
Comparative Analysis ◽  
Peer Review ◽  
Fuzzy Set ◽  
Word Of Mouth ◽  
Qualitative Comparative Analysis ◽  
Equation Modeling ◽  
Content Type ◽  
Electrical Devices ◽  
Market Maven ◽  
Asymmetrical Relationships

PurposeThis study aims to examine the asymmetrical relationships among information-sharing desire, moral attitudes, lack of concern, relative advantage, market maven tendency and complexity as the antecedents of E-waste-word of mouth (EW-WOM) generation.Design/methodology/approachTo obtain a holistic view and the interrelationships between conditions, the configural analysis was conducted to assess the asymmetrical relationships using fuzzy set qualitative comparative analysis (fs/QCA). In addition, construct validity, reliability and symmetrical relationships between antecedent conditions (i.e. exogenous constructs) and outcome conditions (i.e. endogenous constructs) are examined using variance-based structural equation modeling (VB-SEM) technique.FindingsResults imply that market maven tendency accounts for 86.8% of the sum of the memberships in EW-WOM generation. In total, 11 configurations show sufficiency in constructing EW-WOM generation. The configuration of relativeadvanta*moralattitudes*marketmaventend shows the highest consistency value (0.939684) in producing EW-WOM generation (outcome condition). The ∼relativeadvanta *moralattitudes*complexity*∼lackfconcern with raw coverage of 0.626757 and consistency value of 0.864088 show the most sufficient configuration path in producing the outcome.Originality/valueProduct review and recommendation are easily shared in various communication formats and consumers are prone to disseminate information and their experiences with other market segments. However, the role and phenomena of such viral communication in preventing environmental issues caused by electronic and electrical devices (i.e. E-waste) are not well understood. This study is among a few attempts at understanding consumer's decision-making process to engage in E-waste activities such as the reduction of garbage, recycling, compositing and the reuse of electronic or electrical devices.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-11-2019-0343

From physical to virtual store: factors that spur Bangladeshi manufacturers/retailers to introduce multi-channel retailing

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Md Thohidul Karim ◽  
Xu Qi
Keyword(s):  
Developing Countries ◽  
Technology Acceptance ◽  
Consumer Satisfaction ◽  
Structural Equation ◽  
Developed Countries ◽  
Point Of View ◽  
Equation Modeling ◽  
Content Type ◽  
Business Innovation ◽  
Major Factors

Purpose Multi-channel business operations are standard practice in most business contexts today. The popularity of multi-channel adoption among developing countries is growing fast. In Bangladesh, the retailers who adopted multi-channel retailing have been getting a very good response from the consumers. This study aims to understand the factors that influence manufacturers’ decisions to adopt multiple channels in Bangladesh. The authors applied an extended technology acceptance model with three variables: business innovation, business competition and consumer satisfaction. Design/methodology/approach Partial least squares-structural equation modeling was applied to test the data collected from 157 companies and relevant hypotheses. Findings The study findings show that Bangladeshi manufacturers are positive about, and expect benefits from, applying the new channel. The study also revealed that customer satisfaction considerably affects multi-channel adoption in Bangladesh. Similarly, business innovation and business competition play a significant role in introducing multiple business channels. Research limitations/implications This research was conducted in Bangladesh, and data are collected from Dhaka and Chittagong that may limit the generalizability of findings. Practical implications The research goal was to understand a manufacturer’s perception to adopt multi-channel in business. The proposed research model was able to address the major factors that drive a manufacturer to introduce multiple business channels, especially in Bangladesh. Originality/value Many research and case studies have been done the past couple of decades, but most of them are consumer oriented. Little research has been done to investigate a manufacturer’s point of view adapting innovation in business. Though some research articles are available online, most of them from developed countries. So, the study’s goal was to study developing countries scenario; thus, the authors choose Bangladesh.

scholarly journals Managing consumer privacy concerns and defensive behaviours in the digital marketplace

2020 ◽  
Vol 55 (1) ◽  
pp. 219-246
Author(s):  
Ruwan Bandara ◽  
Mario Fernando ◽  
Shahriar Akter
Keyword(s):  
Information Exchange ◽  
Structural Equation ◽  
Online Survey ◽  
Qualitative Comparative Analysis ◽  
Equation Modeling ◽  
Content Type ◽  
Privacy Concerns ◽  
Consumer Privacy ◽  
Defensive Responses ◽  
Defensive Behaviours

Purpose The purpose of this study is to examine privacy issues in the e-commerce context from a power-responsibility equilibrium theory (PRE) perspective. Design/methodology/approach The data was collected using an online survey (n = 335) from online shopping consumers. This study used partial least squares-structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA) techniques to empirically examine the proposed relationships. Findings A lack of corporate privacy responsibility and regulatory protection can deprive consumers of privacy empowerment and damage consumer trust to trigger privacy concerns and subsequent defensive responses. Also, the fsQCA revealed five causal configurations to explain high consumer defensive behaviours. Research limitations/implications This study identifies the importance of PRE theory in the privacy context. Consumer privacy concerns, privacy empowerment and trust are established as strong mediators between corporate/regulatory privacy protection efforts and consumer backlash. The application of fsQCA verified that consumer privacy behaviour can be better explained by different configurations of the same causal antecedents. Practical implications The findings highlight the importance of increasing trust and privacy empowerment as mechanisms to manage privacy concerns and consumer backlash through responsible organisational and regulatory privacy protections. The importance of balancing power and responsibility dynamics for maintaining a healthy information exchange environment is identified. Originality/value This study extends the PRE framework of privacy to include corporate privacy responsibility, privacy empowerment and trust. This is one of the first studies to explore both antecedents and outcomes of privacy empowerment. Also, the application of complexity theory and fsQCA to explain consumers’ defensive responses is novel to the literature.

Mobile learning acceptance and use in higher education during social distancing circumstances: an expansion and customization of UTAUT2

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dan-Andrei Sitar-Taut ◽  
Daniel Mican
Keyword(s):  
Higher Education ◽  
Peer Review ◽  
Structural Equation ◽  
Information Quality ◽  
Equation Modeling ◽  
Grade Point ◽  
Content Type ◽  
Factors Affecting ◽  
Social Distancing ◽  
Personal Innovativeness

PurposeThis paper investigates if the existing degree of students' acceptance and use of mobile or m-learning may face the online shift determined by SARS-CoV-2. Based on the extended unified theory of acceptance and use of technology (UTAUT2), a new comprehensive model, SD-UTAUT (social distancing-UTAUT), is developed to better understand relationships between the original constructs, plus personal innovativeness (PI) and information quality (IQ). It identifies the key factors affecting behavioral intention (BI) and use by examining the influence of revaluated hedonic motivation (HM) and learning value (LV) importance as mediators.Design/methodology/approachThe paper opted for an exploratory study involving 311 learners, using partial least squares structural equation modeling (PLS-SEM).FindingsSD-UTAUT can be a new m-learning model in higher education. It has high predictive power and confirmed 15 out of 16 hypotheses. The most powerful relationship is between performance expectancy (PE) and HM. IQ affected LV the most, since HM the behavioral use (BU). HM impacts the use behavior (UB) more than LV, but habit (HT) affects it the most.Research limitations/implicationsBecause of the pandemic context, output may lack generalizability and reproducibility.Practical implicationsTo improve usage, staff must provide better support, course creators emphasize the objectives and competencies and developers integrate innovation. The joy and pleasure of m-learning use may stimulate the LV through interesting and interactive content, like incorporating gamification.Originality/valueThe model set-up and circumstances are previously unseen. SD-UTAUT confirms ten new hypotheses and introduces the student's grade point average (GPA) as a moderator.Peer reviewThe peer review history for this article is available at https://publons.com/publon/10.1108/OIR-01-2021-0017

Effects of corporate reputation and social identity on innovative job performance

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anderson Betti Frare ◽  
Ilse Maria Beuren
Keyword(s):  
Social Identity ◽  
Job Performance ◽  
Social Identity Theory ◽  
Financial Services ◽  
Corporate Reputation ◽  
Structural Equation ◽  
Qualitative Comparative Analysis ◽  
Equation Modeling ◽  
Content Type ◽  
Company Identification

PurposeThis study analyzes the indirect effects of corporate reputation and social identity on innovative job performance, through organization engagement.Design/methodology/approachA single entity survey was conducted with the employees of a unicorn startup, which is the largest financial services startup (fintech) in Brazil, and the data were analyzed using structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA).FindingsThe results present empirical evidence that corporate reputation and social identity (employee-company identification) are able to stimulate innovative job performance, mediated by organization engagement. In addition to these symmetrical relationships, asymmetrically, combinations of these constructs with different education levels, age and tenure promote high innovative job performance.Research limitations/implicationsThe study has theoretical implications to the extent that the precepts of the social identity theory are observed, by verifying the direct influence of corporate reputation and employee-company identification on organization engagement. It also has implications for presenting an indirect positive effect of corporate reputation and employee-company identity on innovative job performance.Practical implicationsIt contributes by providing subsidies for the company to find to keep employees engaged and prone to innovation, which represents an important managerial parameter and competitive advantage.Originality/valueThe literature points to the need to identify antecedents of innovative job performance. It is postulated that corporate reputation and social identity can indirectly reflect on innovative job performance, mediated by organizational engagement.

scholarly journals Predicting students’ intention to adopt mobile learning

2018 ◽  
Vol 11 (2) ◽  
pp. 178-191 ◽  
Author(s):  
Charles Buabeng-Andoh
Keyword(s):  
University Students ◽  
Technology Acceptance ◽  
Mobile Learning ◽  
Structural Equation ◽  
Reasoned Action ◽  
Statistical Technique ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Intention To Use ◽  
Content Type

Purpose The purpose of this paper is to explore the ability of the integration of technology acceptance model (TAM) and theory of reasoned action (TRA) to predict and explain university students’ intention to use m-learning in schools. Design/methodology/approach In total, 487 students participated in this study. A seven-likert scale survey questionnaire which comprised of 23 items was completed by the students. Structural equation modeling was used as the statistical technique to analyze the data. Findings The study found that the resulting model was fairly able to predict and explain behavioral intention (BI) among students in Ghana. In addition, this study found that attitudes toward use and subjective norm significantly influenced students’ BI to use mobile learning. The model explained 23.0 percent of the variance in BI, 33.8 percent in perceived usefulness and 47.6 percent in attitudes toward use. Of all the three endogenous variables, attitude had the greatest effect on BI. Originality/value Although, the above-mentioned models have been adopted in many studies, few or none have combined TRA and TAM as a research framework to predict and explain students’ intention to use m-learning since m-learning is fairly new in educational environments. Therefore, a model that combines all constructs from TRA and TAM was proposed in this study to explore university students’ intention to use m-learning in schools.

scholarly journals Packages of management control systems, entrepreneurial orientation, and performance in Brazilian startups

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anderson Betti Frare ◽  
Ana Paula Capuano da Cruz ◽  
Carlos Eduardo Facin Lavarda ◽  
Chris Akroyd
Keyword(s):  
Firm Performance ◽  
Entrepreneurial Orientation ◽  
Structural Equation ◽  
High Performance ◽  
Qualitative Comparative Analysis ◽  
Management Control ◽  
Equation Modeling ◽  
Holistic View ◽  
Content Type ◽  
Startup Firms

Purpose This study aims to understand the relationship between the elements of a startup firms’ management control system (MCS) package, its entrepreneurial orientation (EO) and firm performance. Design/methodology/approach The authors collected survey data from a sample of 100 Brazilian startups who had exited technology-based parks and incubators. The authors used two data analysis techniques, namely, partial least squares structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA). Findings The findings show that cultural and planning controls were the only two MCS elements that were included in all high-performing startup firms’ MCS packages. The authors also found that EO has a positive influence on firm performance through the MCS package. Research limitations/implications The mixed-method approach allowed for a holistic view of the analyzed phenomenon. PLS-SEM analysis was applied to the symmetric relationships between the proposed relationships while fsQCA was used to analyze the asymmetric combinations between EO dimensions and MCS package elements, which promoted high firm performance. Practical implications The authors show how different combinations of MCS elements form a package, mediating EO, which can enable high performance. Originality/value Using fsQCA and PLS-SEM, the authors were able to better understand the important role that MCS package adoption has on a startups’ performance and provide new evidence regarding the interface between MCS and EO. This extends the understanding of the importance that cultural and planning controls have in an MCS package to support startup performance.

scholarly journals Job autonomy, unscripted agility and ambidextrous innovation: analysis of Brazilian startups in times of the Covid-19 pandemic

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anderson Betti Frare ◽  
Ilse Maria Beuren
Keyword(s):  
Structural Equation ◽  
Success Factors ◽  
Qualitative Comparative Analysis ◽  
Equation Modeling ◽  
External Financing ◽  
Job Autonomy ◽  
Content Type ◽  
Radical Innovations ◽  
Institutional Ties

PurposeThis study aims to analyze the influence of job autonomy and unscripted agility on ambidextrous innovation in startups in times of the Covid-19 pandemic.Design/methodology/approachA survey was conducted with founders and managers of Brazilian startups in the e-commerce segment, resulting in a sample of 84 startups. Symmetric (structural equation modeling) and asymmetric (fuzzy-set qualitative comparative analysis) analyses were performed. The variables' external financing and institutional ties were controlled.FindingsThe symmetric findings indicate that unscripted agility is a full mediator between job autonomy and ambidextrous innovation. The asymmetric findings offer two solutions for startups to achieve high ambidextrous innovation.Research limitations/implicationsThe implications of the research for the literature are discussing elements associated with ambidextrous innovation, exploring the context of innovation in startups in times of crisis, specifically in the Covid-19 pandemic, and considering the role of resilience in startups.Practical implicationsThe study provides informational inputs to founders and managers of startups on how job autonomy and unscripted agility can propel incremental and radical innovations.Originality/valueThis study provides new insights and success factors into startups, based on the discussion of entrepreneurship in times of crisis, as in the case of the Covid-19 pandemic.

scholarly journals Animosity within borders

2015 ◽  
Vol 27 (5) ◽  
pp. 692-716 ◽  
Author(s):  
Yu-An Huang ◽  
Chad Lin ◽  
Dorothy A Yen
Keyword(s):  
Consumer Choice ◽  
Structural Equation ◽  
Perceived Discrimination ◽  
Qualitative Comparative Analysis ◽  
Mediating Effect ◽  
Equation Modeling ◽  
Computer Assisted ◽  
Content Type ◽  
Telephone Interviews ◽  
Home Region

Purpose – The purpose of this paper is to identify and examine the antecedents and consequence of regional animosity and their impacts on regional media preference. Design/methodology/approach – Computer-assisted telephone interviews were conducted with randomly selected adult residents in Northern (206) and Southern (201) Taiwan. The data were analyzed using structural equation modeling in LISERAL and fuzzy-set qualitative comparative analysis. Findings – The findings reveal that perceived economic threat, economic hardship and dissatisfaction with government economic policy increase home region identification and perceived discrimination, which in turn lead to heightened animosity toward the opposite foreign region. This increasing animosity then affects consumer choice over home region media compared to media originated from the other region. Research limitations/implications – The findings suggest that military and political tensions alone cannot explain why consumers would harbor animosity between one region and another within the same country due to social and economic reasons. The constructs chosen in this research should be seen only as a snapshot but other variables such as a region’s natural environment and its human factors are not taken into account. Future studies would benefit from inclusion of these variables and a wider geographical scope. Practical implications – Several implications are extracted to help marketing and branding personnel better shape their marketing, communication and media strategies, as well as to help government policy makers and political parties revise existing policy to reduce the animosity. Originality/value – By investigating animosity within borders, this study provides fresh insights to help explain how economic factors contribute to increased regional animosity through the mediating effect of regional identification and perceived discrimination. The findings broaden existing understanding about the concept of animosity and its impact on consumer behavior.

The presumed influence of digital misinformation: examining US public’s support for governmental restrictions versus corrective action in the COVID-19 pandemic

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yang Cheng ◽  
Yunjuan Luo
Keyword(s):  
Peer Review ◽  
Structural Equation ◽  
Online Survey ◽  
Digital Health ◽  
Public Support ◽  
Corrective Action ◽  
Equation Modeling ◽  
Content Type ◽  
The Usa ◽  
Corrective Actions

PurposeInformed by the third-person effects (TPE) theory, this study aims to analyze restrictive versus corrective actions in response to the perceived TPE of misinformation on social media in the USA.Design/methodology/approachThe authors conducted an online survey among 1,793 adults in the USA in early April. All participants were randomly enrolled in this research through a professional survey company. The structural equation modeling via Amos 20 was adopted for hypothesis testing.FindingsResults indicated that individuals also perceived that others were more influenced by misinformation about COVID-19 than they were. Further, such a perceptual gap was associated with public support for governmental restrictions and corrective action. Negative affections toward health misinformation directly affected public support for governmental restrictions rather than corrective action. Support for governmental restrictions could further facilitate corrective action.Originality/valueThis study examined the applicability of TPE theory in the context of digital health misinformation during a unique global crisis. It explored the significant role of negative affections in influencing restrictive and corrective actions. Practically, this study offered implications for information and communication educators and practitioners.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-08-2020-0386

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