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This paper aims to investigate the dynamics of the organizational buying process of radical software innovations. Acquisition of technology innovations by early adopting organizations has been studied previously with scant attention being given to the actual buying process and the risk mitigation mechanism. This paper addresses these gaps in the literature and this paper finds evidence to support that the organizational buying process of radical software innovations is different from the general models of organizational buying.

Methods from the grounded theory approach were used to conduct 20 in-depth interviews with senior industry practitioners. Purposive sampling was used to identify the participants.

A theoretical model of the organizational buying process of radical software innovations emerged with themes and concepts that explain the dynamics of the buying and adoption processes. The paper challenges the fundamental tenet of organizational buying that needs recognition triggers the buying process. An interesting nuance was found that risk is mitigated within the buying action itself.

An understanding of the buyer behaviour process will help marketers of radical software innovations to formulate the appropriate marketing response. Sales personnel can attune their customer interactions when helping customers to acquire a radical software innovation. Firms that want to be early adopters and innovate can tune their buying process in line with the findings.

This paper develops a typological buying model. It unravels the dynamics of the adoption process by discussing how early adopting organizations buy radical software innovations. New concepts with rich explanatory powers are discussed.

The purpose of this paper is to present a conceptual framework that provides insights into major environmental and organizational forces underlying greater levels of organizational responsiveness to the environmental sustainability imperative by a growing number of firms, worldwide.

The paper is conceptual in its focus, and the proposed framework builds on extant literature from multiple literature streams.

Societal progress toward environmental sustainability is a shared responsibility of consumers, corporations, and the government at various levels. A potential avenue for societal progress toward environmental sustainability is fostering a macroenvironment that is conducive to the elimination of consumption certain products, reduction in consumption certain other products, and redirection of consumption of still other products from ecologically more harmful to ecologically less harmful substitute products (and relatedly, demand elimination, demand reduction, and demand redirection).

An implication for corporate sustainability responsibility is that firms while planning and formulating strategies for increasing their market footprint must also concurrently plan and formulate strategies for decreasing their environmental footprint. An implication for government sustainability responsibility is that even under conditions of high levels of commitment by a large and growing number of firms and consumers to engage in environmentally sustainable behaviors, in the absence of supporting infrastructure for engaging in such behavior, they may find it necessary to engage in environmentally unsustainable behaviors.

Issues relating to environmental sustainability have been the focus of a large body of recent research in a number of academic disciplines including marketing. A cursory examination of numerous articles published in scholarly journals on issues pertaining to environmental sustainability, and in the business press pertaining to the myriad environmental sustainability initiatives of firms worldwide is indicative of its growing importance.

This study investigates how firms’ awareness of sustainability affects the revision of their internationalization strategy. Adopting a resource-based view (RBV) approach, the authors argue that sustainable-oriented firms have a higher propensity to de-internationalize (i.e., to go back to their home country) when confronted with the need to relocate foreign manufacturing subsidiaries, as the shortening of value chains would allow the reduction of transportation emissions and enhanced corporate image as green-oriented entities. Furthermore, the authors explore the role exerted by a stringent regulatory setting in the home country on the likelihood of de-internationalization. The empirical test conducted on a sample of relocations performed across European nations in 2002–2014 reveals that multinational enterprises (MNEs) – regardless of their sustainability orientation – have a higher probability to de-internationalize when their home countries have strict institutional contexts in place.

Fundamental literature exists on the employment of diverse information technology (IT) innovations relied on utility computing, a little experimental literature exists on cloud computing adoption by medium enterprises. So, this essay aims to analyze the determinants of the acceptance of cloud computing in medium-sized organizations. It also targets the impact of cloud-depended services on employers' talent management in the analysis areas of research reports, hypotheses and frameworks used by them.

Cloud computing is a novel and notable development in the network application field with a novel IT viewpoint. The present investigation aims to assist and enrich the scientific argument regarding the phenomenon nominated cloud computing from a managerial perspective. A quantitative study design was utilized to gather and analyze the data. In total, 345 employees from different medium enterprises reported their perspectives via an online survey. Partial least squares was used to evaluate the model of the study. The investigation was performed from April 2020 to November 2020.

As expected, the empirical analysis results revealed that cloud computing adaption drivers positively and significantly associated with talent management. The results showed that organizational level is the most important factor in the effectiveness of talent management. Further, this study established a cloud strategy that moderates the relationships between cloud computing adaption drivers and talent management. As a general result, organization managers must implement cloud computing to improve organizational performance, reduce costs, enhance organizational innovation and reduce repetitive work. So, international trade facilitates and helps the country's economy.

There are still some drawbacks of this analysis that require addressing the findings. Initially, the authors gathered a country's data. Second, by considering multiple significant structures from four aspects, they established the study model. Third, utilizing one-time cross-sectional data, the suggested model was evaluated. As a proposal, future researchers could investigate cloud computing adoption drivers' outcomes within other organizations.

This research presents a straightforward and easy model for understanding the cloud's effect on employee talent management. By systematizing the unrelated studies on the subject and organizing those contributions into strong managerial literature paradigms, such an aim has been accomplished.

The use of choice-based, matched, and other stratified sample designs is common in auditing research. However, it is not widely appreciated that the data analysis for these studies has to take into account the non-random nature of sample selection in these designs. A choice-based, matched or otherwise stratified sample is a nonrandom sample that must be analyzed using conditional analysis techniques. We review five research streams in the auditing area. These streams include work on determinants of audit litigation, audit fees, auditor reporting in financially distressed firms, audit quality and auditor switches. Cram, Karan, and Stuart (CKS) (2009) demonstrated the accuracy of conditional analysis, compared to unconditional analysis, of nonrandom samples through the use of simulations, replications, and mathematical proofs. Papers since published have continued to rely upon questionable research, however, and it is hard for researchers to identify what is the reliability of a given work. We complement and extend CKS (2009) by identifying audit papers in selected research streams whose results will likely differ if the data gathered are analyzed using conditional analysis techniques. Thus research can be advanced either by replication and reanalysis, or by refocus of new research upon issues that should no longer be viewed as settled.

Building a customer base as an outcome of customer satisfaction has not been investigated empirically in e‐tailing industry. This paper seeks to fill this gap in the literature.

Explores the relationship between satisfying customers and building a customer base using data envelopment analysis (DEA). Data from the e‐retailing industry related to the input variables (e.g. customers' ratings on a set of e‐store attributes) and output variables (e.g. a proxy measure of “customer base”) are analyzed.

Performance scores for developing a customer base vary across product categories. Performance score is a good parameter for predicting future change on a unique number of visitors and on the competition pattern for a particular e‐tailer.

Further study can examine other drivers of a developing customer base (e.g. advertising, trust building, and strategic alliance) – thereby producing more robust evidence for customer base development in e‐tailing industry.

Good practices in the generation of customers and page view have been identified. Knowing the efficiency patterns of an e‐tailer makes it possible to guide managerial action by providing a measure of the extent to which different management actions at the e‐tailer can lead to higher future customer growth. Managers should realize that customers match realizations and expectations of product/service performance.

This study has identified satisfaction as the important driver of developing a customer base. It focuses on improving diagnosis of the performance of e‐tailers by assessing reach efficiency and page view efficiency separately.

The purpose of this study is to investigate offline retailers’ cryptocurrency adoption through the unified theory of acceptance and use of technology (UTAUT/2), technology acceptance model (TAM) and other related variables.

A mixed-method (QUANT-Qual) was employed. The study employed a quantitative approach (partial least squares-structural equation modeling) for Study 1 and a qualitative focus group discussion for Study 2. The qualitative segment enhances the comprehension and interpretation of outcomes derived from the quantitative analysis.

Study 1 identified six crucial factors in cryptocurrency adoption: trust, personal innovation, hedonic motivation, social influence, safety and a positive attitude. Perceived ease of use, price value and satisfaction were non-significant. Study 2 elaborates on the findings, and highlights the reasons for the insignificant factors.

This research contributes to theoretical knowledge by empirically testing established technology acceptance theories like UTAUT/2 and TAM in the context of retail cryptocurrency adoption. It introduces previously unexplored factors, such as personal innovativeness, hedonic motivation and safety/reliability, enriching the theoretical landscape.

This study provides practical insights for cryptocurrency stakeholders, including government, regulators, consumers, businesses and the financial sector, regarding retailers' intentions to adopt cryptocurrencies in North Cyprus.

This study can enhance understanding of factors facilitating cryptocurrency integration into mainstream retail, potentially reshaping traditional finance. Economically, adoption can boost financial inclusion, offering efficient transaction methods. This transition may disrupt existing economic models, drive payment technology innovation and change consumer behavior toward digital assets.

This study stands out by using a mixed-method approach to comprehensively examine cryptocurrency adoption by offline retailers, considering various factors and providing a holistic perspective, unlike previous research that often focused on specific user groups.

The purpose of this paper is to investigate the impact of post-usage usefulness (PUU), experiential value, and apps channel satisfaction on consumer continuance intention in using the smartphone apps retail channel for shopping activities. The study proposes that experiential value mediates both the relationship between PUU and apps channel satisfaction and the relationship between PUU and apps channel continuance intention.

A total of 467 valid questionnaires were received from Malaysian experienced smartphone apps shoppers (minimum of six months experience) from pure play apps retailers to empirically test the model. For the assessment of the measurement model and structural relationships, partial least square path modelling approach was performed.

The hypotheses testing imply that all direct hypotheses between latent constructs are supported. Experiential value partially mediates the relationship between PUU and apps channel satisfaction and the hypothesis on its mediation role on the relationship between PUU and apps channel continuance intention is rejected.

Despite the rapid development of information technology, a few research uncovered how businesses can create value through smartphone apps channel. Rather than focussing exclusively on online retailing, physical stores and e-commerce in general as a retail distribution strategy, this study empirically uncovered that value creation process could be achieved through smartphone apps channel.

The purpose of this study is to compare online and in-store shoppers motivations based on product type.

Means-end approach was used to extract motivational factors that drive shoppers channel choice for hedonic and utilitarian products. A total of 100 respondents were interviewed using laddering technique. Hierarchical virtual maps were constructed to determine values associated with attributes and consequences identified by the consumer.

Shopping motivations differed for online and in-store shoppers based on product type. Variety, value for money and delivery were important attributes for online shoppers. In-store shoppers looked for social interaction and personalized attention. Convenience, affordability and gratification were unique online consequences, while nostalgia and loyalty benefits were specific to in-store hedonic purchases. Self-confidence, availability of wider choices and in-store shopping experience were the values sought for hedonic products. Control of shopping experience was the desired value for utilitarian purchases irrespective of channels.

This study contributes to shopping motivation research by comparing motives of online and in-store shoppers for hedonic and utilitarian products.

Retailers need to enhance online trust and strengthen in-store customer service for hedonic products. They should also work on the online delivery capabilities and in-store personalized services for utilitarian purchases.

Prior research on deconstructing channel choice motivations based on product type is sparse. This paper uses hierarchy of means-end elements to illustrate attributes and consequences that drive consumer motives and values.

This study aims to develop and validate a scale for measuring online fashion brand recognition (OFBR).

Given the existing literature on brand, multiple stages of studies were conducted as a part of the scale development process. The OFBR scale was validated by a step-by-step process following the scale validation methodology suggested in the specialised literature.

The results demonstrate the 25 items of five unique factors that form the OFBR construct and confirm the strong validity of the construct. This finding suggests that the five-dimensional approach (online brand familiarity, online visual simplicity, online aesthetic attraction, online brand emotion and online social reputation) plays important role to form OFBR.

A valid and reliable OFBR scale provides a foundation for broadening the understanding on the important constructs that form OFBR, which is essential for online fashion retailing. Knowledge of the crucial antecedents that influence consumers towards online fashion products can enhance marketers’ capability to position their brands towards their target markets.

The relevance of this study lies in validating the scale for measuring OFBR for the first time in the literature on online fashion brand.

Este estudio tiene como objetivo desarrollar y validar una escala para medir el reconocimiento de marcas de moda online (OFBR).

Partiendo de la literatura de marca, se llevaron a cabo múltiples estudios como parte del proceso de desarrollo de la escala. La escala OFBR fue validada en un proceso de diversas etapas siguiendo la metodología de validación de escalas sugerida en la literatura especializada.

Los resultados demuestran los veinticinco ítems de cinco factores únicos que forman el constructo OFBR y confirman la validez del constructo. Este hallazgo sugiere que el enfoque de cinco dimensiones (familiaridad con la marca online, simplicidad visual online, atracción estética online, emoción de la marca online y reputación social online) juega un papel importante en la formación de la OFBR.

Una escala OFBR válida y fiable proporciona una base para ampliar la comprensión de los constructos importantes que forman OFBR, lo cual es esencial para la venta de moda online. Conocer los antecedentes que condicionan al consumidor al comprar productos de moda online puede mejorar la capacidad del vendedor para posicionar su marca en el mercado objetivo.

El interés de este estudio radica en la validación de la escala para medir la OFBR por primera vez en la literatura sobre la marca de moda online.

Artículo de investigación