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1 – 10 of 404Jiju Antony, Vikas Swarnakar, Michael Sony, Olivia McDermott and Raja Jayaraman
This study aims to investigate how early and late adopters of Quality 4.0 (Q4.0) differ in terms of organizational performance.
Abstract
Purpose
This study aims to investigate how early and late adopters of Quality 4.0 (Q4.0) differ in terms of organizational performance.
Design/methodology/approach
The authors employed a grounded theory approach for interviewing 15 senior managers from diverse organizational contexts throughout the globe as part of their qualitative research methodology.
Findings
The research's findings were analyzed based on four types of performance: operational, financial, environmental and social. It was clear that early adopters of Q4.0 were sustaining superior performance in quality over time, even though their investment was significantly higher than that of late adopters. From a financial viewpoint, it was evident that early adopters had a competitive edge over their rivals compared to late adopters. Late adopters have utilized the notion of the circular economy (CE) more effectively than many early adopters in the context of environmental performance in order to establish a green economy and sustainable development.
Research limitations/implications
Although the results of the interview indicate that Q4.0 is having some positive effects on social performance, in the authors' view, it is still least understood from an empirical standpoint.
Originality/value
The study's findings assist organizations in comprehending the performance differences between Q4.0 early adopters and late adopters.
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Milad Armani Dehghani, Dionysios Karavidas, Alexandra Rese and Fulya Acikgoz
With the rise of cryptocurrency and its influence on the financial industry, this paper aims to explore cryptocurrency affordances that lead to approach–avoidance behavioral…
Abstract
Purpose
With the rise of cryptocurrency and its influence on the financial industry, this paper aims to explore cryptocurrency affordances that lead to approach–avoidance behavioral intentions for non-users (potential) and the intention to continue use for users (actual), drawing upon affordance theory and chasm theory.
Design/methodology/approach
The authors collected data from 480 potential and actual users in Germany and used maximum likelihood structural equation modeling (ML-SEM) to analyze it. In particular, the data consisted of 301 cryptocurrency users in Germany\ the authors used ML-SEM to test the post-adoption model. Additionally, logistic regression was utilized to determine the dominant actual usage method (store of value or medium of exchange) for various cryptocurrency coins.
Findings
According to the study's results, the perceived value benefits have a positive impact on the behavioral intention of potential users to adopt cryptocurrency, and they influence the intention of actual users to continue using it. However, both perceived volatility and financial risk tolerance are the most crucial factors hindering cryptocurrency adoption, whether in the pre-adoption or the post-adoption stage.
Originality/value
This is the first study to reveal cryptocurrency affordances and examine their effect on behavioral intentions toward cryptocurrency adoption based on the differences between non-users (potential) and users (actual). Furthermore, the authors explore how cryptocurrency holders perceive and invest in different coins (e.g. NFTs), which sheds light on factors such as financial risk tolerance that affect their decision making.
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Anshu Sharma and Aradhana Vikas Gandhi
This study aims to explore the adoption behaviour of consumers towards innovative technology products and services (ITPS).
Abstract
Purpose
This study aims to explore the adoption behaviour of consumers towards innovative technology products and services (ITPS).
Design/methodology/approach
A qualitative study using semi-structured in-depth interviews was conducted with 47 respondents. Their lived experiences across 50+ ITPS were studied. A grounded theory approach was used to develop a theory with reference to consumer adoption of ITPS.
Findings
Themes emerged across the adoption process, such as triggers for adoption (pressing need, making life more pleasurable, urge to acquire and forced initiation); hesitancies faced by consumers during evaluation (value alignment, utilization, ecosystem, risks with new technology and price); and factors that help in overcoming the hesitancies (word of mouth, de-risking schemes and self-devised strategies).
Practical implications
Innovators must understand customer triggers and design offerings that activate the same – addressing a pressing need or making lives more pleasurable. Users driven purely by an urge to acquire can be a source of early word of mouth for radical innovations. Innovations must be designed and communicated to minimize hesitancies. Mitigating schemes such as equated monthly installment and return policy can be offered to empower customers to overcome hesitancies. Factors such as price, risk, beliefs, traditions and nationalistic values assume importance, specifically in an emerging economy.
Originality/value
This study based on grounded theory keeps the user at the centre and explains the innovation adoption phenomenon for a wide variety of 50+ ITPS in the context of an emerging economy.
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John Aliu, Ayodeji Emmanuel Oke, Abiola Oluwasogo Oyediran, Rislan Abdulazeez Kanya and Samuel Ukaha Onyeukwu
Although social media has gained prominence as a communication and marketing tool in various sectors, its adoption and utilization within the construction industry remain…
Abstract
Purpose
Although social media has gained prominence as a communication and marketing tool in various sectors, its adoption and utilization within the construction industry remain relatively underexplored. Therefore, this study fills this gap by evaluating the level of awareness and the extent of adoption of social media within the Nigerian construction industry, shedding light on its current status and potential impact.
Design/methodology/approach
This objective was attained via a quantitative research approach that utilized a structured questionnaire to obtain responses from construction professionals such as architects, builders, engineers, quantity surveyors and estate managers. Frequencies and percentages and the mean item score (MIS) were used to analyze the questionnaire responses and assess the overall awareness and adoption of social media among construction professionals. Additionally, the Kruskal–Wallis H-test provided valuable insights into the variations in social media adoption levels among different professional categories within the construction industry.
Findings
The results indicate that construction professionals possess a generally high level of awareness regarding various social media platforms. However, despite this awareness, the extent of adoption does not align with the level of awareness, suggesting that adoption rates are not as widespread as anticipated.
Practical implications
The findings of this study underscore the importance of not just awareness but also effective adoption and utilization of social media platforms. While awareness is a crucial first step, construction firms should focus on implementing strategies to encourage greater adoption and integration of these platforms into their daily operations. This can go a long way in bridging the awareness – adoption gap which was revealed in this study.
Originality/value
While the limited existing research on social media in the construction industry has predominantly concentrated on areas such as marketing, addressing the root causes of fatalities, data environment tools and business branding, none have undertaken a thorough evaluation of social media awareness and adoption within the sector. This study fills a critical gap by narrowing its focus to the adoption dynamics and the technology’s potential impact on communication, collaboration and knowledge sharing among construction professionals.
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Mohammad Iranmanesh, Morteza Ghobakhloo, Behzad Foroughi, Mehrbakhsh Nilashi and Elaheh Yadegaridehkordi
This study aims to explore and ranks the factors that might determine attitudes and intentions toward using autonomous vehicles (AVs).
Abstract
Purpose
This study aims to explore and ranks the factors that might determine attitudes and intentions toward using autonomous vehicles (AVs).
Design/methodology/approach
The “technology acceptance model” (TAM) was extended by assessing the moderating influences of personal-related factors. Data were collected from 378 Vietnamese and analysed using a combination of “partial least squares” and the “adaptive neuro-fuzzy inference system” (ANFIS) technique.
Findings
The findings demonstrated the power of TAM in explaining the attitude and intention to use AVs. ANFIS enables ranking the importance of determinants and predicting the outcomes. Perceived ease of use and attitude were the most crucial drivers of attitude and intention to use AVs, respectively. Personal innovativeness negatively moderates the influence of perceived ease of use on attitude. Data privacy concerns moderate positively the impact of perceived usefulness on attitude. The moderating effect of price sensitivity was not supported.
Practical implications
These findings provide insights for policymakers and automobile companies' managers, designers and marketers on driving factors in making decisions to adopt AVs.
Originality/value
The study extends the AVs literature by illustrating the importance of personal-related factors, ranking the determinants of attitude and intention, illustrating the inter-relationships among AVs adoption factors and predicting individuals' attitudes and behaviours towards using AVs.
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Heetae Yang, Yeram Cho and Sang-Yeal Han
This study develops a comprehensive research model and investigates the significant factors affecting positive marketing outcomes in the Metaverse through perceived social…
Abstract
Purpose
This study develops a comprehensive research model and investigates the significant factors affecting positive marketing outcomes in the Metaverse through perceived social benefits and trust.
Design/methodology/approach
The authors propose a new research model based on social exchange theory (SET) and examine the impact of cost and reward factors. Using 327 survey samples collected from current Metaverse users in South Korea, dual-stage analysis using Partial Least Squares Structural Equation Modeling (PLS-SEM) and an artificial neural network (ANN) were employed to test the study’s hypotheses.
Findings
The results showed that perceived social benefit and trust had significant mediating effects on marketing outcomes, such as loyalty to the seller, product/service attitude, and purchase intention. All antecedents, except perceived performance risk, had a crucial impact on the two mediators. The most interesting finding of this study is the positive influence of knowledge-seeking efforts on perceived social benefits.
Originality/value
This study is the first empirical research to examine the effectiveness of marketing in the Metaverse. It also proposes a new theoretical model based on SET to investigate users’ behavioral intentions regarding marketing in the Metaverse, and confirms its explanatory power. Moreover, the results of this study also offer suggestions to brands on how to market to consumers in the Metaverse.
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Shampy Kamboj, Manita Matharu and Yupal Shukla
The purpose of this study is to examine the influence of perceived risk (perceived susceptibility and perceived severity), self-efficacy and individual differences (personal…
Abstract
Purpose
The purpose of this study is to examine the influence of perceived risk (perceived susceptibility and perceived severity), self-efficacy and individual differences (personal innovativeness and mobile payment knowledge) on consumers’ intention to use contactless mobile payment services (MPS). Additionally, it also empirically tested the moderating effect of hygiene consciousness in the proposed conceptual model.
Design/methodology/approach
The present research developed a conceptual model based on the health belief model (HBM) and diffusion of innovation theory (DOI) to empirically assess whether and how perceived risk, self-efficacy and individual differences influence consumer intention to use contactless MPS. The data was collected using the survey method from 251 smartphone users and analyzed with structural equation modeling. The moderating role of hygiene consciousness was studied in the relationship that self-efficacy and personal innovativeness shares with consumers’ intention toward contactless MPS.
Findings
The results of this study disclose that among all precursors of consumers’ intention toward contactless MPS, only perceived severity, self-efficacy, personal innovativeness and mobile payment knowledge positively affect consumers’ intention to use contactless MPS. However, the effect of perceived susceptibility on consumers’ intention toward contactless MPS was found to be non-significant. The results further depict that hygiene consciousness acts as a moderator in driving consumers’ intention toward contactless mobile payment services.
Research limitations/implications
The HBM model and DOI, which incorporate perceived risk, self-efficacy, individual differences and hygiene consciousness, give light on the factors influencing consumer intention to use contactless MPS in a pandemic situation such as COVID-19. The study will provide useful insights to marketers on how to frame their strategies in the aftermath of pandemics, as the contactless mobile payment method may be perceived as a defensive behavior during and after pandemics.
Practical implications
The study will provide useful insights to marketers on how to frame their strategies in the aftermath of pandemics, as the contactless mobile payment method may be perceived as a defensive behavior during and after pandemics.
Originality/value
By uniting perceived risk, self-efficacy and individual differences with consumers’ intention toward contactless MPS in a conceptual model, along with examining the moderating role of hygiene consciousness, this work responds to the calls for upcoming research concerning mobile payment systems as means of future payment. Thus, it offers an understanding of particular consumer motivations that may guide consumers’ intention toward contactless MPS through the theoretical lens of HBM and DOI.
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The study utilized the consumption value theory to explore the motivational factors that define and differentiate the users and nonusers of fashion rental services
Abstract
Purpose
The study utilized the consumption value theory to explore the motivational factors that define and differentiate the users and nonusers of fashion rental services
Design/methodology/approach
A focus group was conducted to generate an initial list of measurement items. These items were refined through a pretest and then used in a self-administered online questionnaire to collect data from a total of 300 users and 300 nonusers. The collected data were analyzed using factor analysis to identify the factors that define users and nonusers. A MANOVA was then conducted to explore the differences in the identified factors between users and nonusers.
Findings
Using factor analysis, nine factors were extracted across the five consumption values (functional, social, emotional, conditional and epistemic). MANOVA revealed a significant difference between users and nonusers across all factors. Further analyses suggested that the most differentiating factors are two emotional value factors and one social value factor.
Originality
Despite existing studies of fashion rental services, it is debatable whether the phenomenon is fully understood since previous studies primarily focus on consumers who engage in fashion renting services – there is a lack of focus on nonusers. This study provides unique contributions by exploring the phenomenon from both the user's and the nonuser's perspective.
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Jitender Kumar, Sudhir Rana, Vinki Rani and Anjali Ahuja
This article intends to explore critical factors that affect the adoption of organic farming in emerging economies. The authors respond to the calls from policymakers…
Abstract
Purpose
This article intends to explore critical factors that affect the adoption of organic farming in emerging economies. The authors respond to the calls from policymakers, non-government organizations, business firms and scholars to improve the farmers' awareness of the negative impact of synthetic chemical pesticides, phosphorus, potassium fertilizers and mineral nitrogen used in traditional farming.
Design/methodology/approach
Through self-administered survey questionnaires, responses were obtained from 397 farmers (conventional) regarding organic farming adoption in Haryana (India). The survey responses were collected between October 2022 and December 2022. The authors apply the “partial least squares structural equation modeling” (PLS-SEM) to test the framed hypotheses.
Findings
The present article demonstrates six critical determinants of organic farming adoption, i.e. behavioral, cultivation, economic, governmental, marketing, and social factors. These six factors drive 71.0% (R2) variation in organic farming adoption. Governmental factors have a positive but insignificant influence on organic farming adoption. Interestingly, the impact of behavioral and cultivation factors is crucial per path coefficient values.
Originality/value
For the first time, the authors conducted a study on organic farming adoption in Haryana that lies in its context-specific implementation, utilization of localized knowledge and expertise, regional policy support, agricultural diversification and community participation. Future research can build upon by adding agriculture scientists to the study to respond to the cost, quality of the crop and impact of socio-economic policies as moderators/mediators on adoption decisions.
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Kian Yeik Koay and Mei Kei Leong
The purpose of this study is to examine the factors influencing consumers' intentions to use drone food delivery services from the perspective of the theory of consumption values…
Abstract
Purpose
The purpose of this study is to examine the factors influencing consumers' intentions to use drone food delivery services from the perspective of the theory of consumption values (TCV).
Design/methodology/approach
Data collection involves the utilisation of self-administered questionnaires. Subsequently, 305 data were gathered from Malaysian consumers and subjected to analysis through partial least squares structural equation modelling (PLS-SEM).
Findings
This study demonstrated that functional, social, emotional and epistemic values, as well as personal innovativeness, can strongly predict intentions. However, neither the conditional value nor environmental concerns were significant predictors of intentions.
Originality/value
The study is the first of its kind to use the TCV from the perspective of a developing country to understand consumers' intentions to use drone food delivery services.
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