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Faced with increasing pressure to improve responsiveness to rapidly changing market needs, firms must respond to the challenge of how to improve supply reliability and quality, while simultaneously reducing costs. This has led to an increase in outsourcing and the adoption of supplier alliances with key suppliers. While much has been written about when and how to form such alliances and the benefits of doing so, little evidence exists of how alliance adopters differ from non‐adopters in their attitudes towards managing suppliers and their efforts to manage quality in the supply process. This study presents results of a survey of supply management professionals that examines attitudes of adopters and non‐adopters of supplier alliances to supplier and quality management. Results indicate that significant differences in attitudes exist between alliance adopters and non‐adopters, and that differences have a direct and significant impact on key measures of a buying firm's business performance.

This study aims to identify perceptual, experience related, demographic, socio‐economic and situational characteristics of internet banking adopters and non‐adopters. In particular, perceptual differences between IB adopters and non‐adopters are to be examined.

Based on relevant literature and previous research that included interviews with leading internet banking managers in Turkey, a questionnaire was designed. Face‐to‐face questionnaires were distributed to 155 convenience samples of internet users.

There were significant differences between adopters and non‐adopters of the service in terms of their perceptual, experience and consumer related characteristics. Internet banking adopters perceived internet banking use as less risky, more user‐friendly and more useful compared to internet banking non‐adopters. Internet banking non‐adopters who intend to use the service in the future (i.e. later adopters) perceived internet banking use as less risky and more useful compared to non‐adopters who do not intend to use the service (i.e. laggards). Internet banking adopters were also found to have more experience with mobile internet, and have higher income and longer working hours.

The managerial implications of the study are that the banks in Turkey should reduce the risk perceptions of non‐adopters, particularly the ones who do not intend to use the service in the future (i.e. laggards). They should also motivate non‐adopter segments to have more experience with more general internet based services. The initial target to diffuse internet banking in Turkey should include the segments which have greater income and longer working hours.

This study applies the Technology Acceptance Model (TAM) to identify the perceptual differences between internet banking adopter and non‐adopter segments and sub‐segments in the Turkish context.

Despite the advantages of MOOCs (Massive Online Open Courses), the adoption rate is still low, especially in less developed countries. The present study aims to investigate the drivers and barriers faced by adopters and non-adopters of MOOCs, and examine how these factors influence the intention of MOOC adoption.

A survey questionnaire was developed to measure how the identified factors may impact adopters and non-adopters' intention of using MOOCs. Through both offline and online channels, 1018 valid questionnaires were collected in China. Multiple regression analysis was applied to test the influential factors for adopters and non-adopters of MOOCs.

This study found that the drivers (i.e. perceived usefulness, performance-to-cost value, and self-regulation) have similar effects on both adopters and non-adopters on intention to adopt MOOCs. What differs between the two groups are the barriers to MOOC adoption. While adopters considered educational tradition and peers' impact as major barriers, non-adopters regarded lack of publicity and relevant information to be an obstacle. In addition, both adopters and non-adopters were hindered by the lack of accessibility and instructions.

As all the participants of this study were from one country in Asia, the findings may not be applicable to explain the situation of MOOC adoption in other countries with different social and cultural context.

In addition to the perceptions of adopters, this study also reveals the perceptions of non-adopters of MOOCs, which has seldom been investigated. In addition, this study focuses on the context of economically disadvantaged regions which have been neglected in previous studies of MOOC adoption.

For a new technology‐based product or service at an early stage of diffusion, it is likely that only a small subset of consumers have adopted it. When non‐adopters still comprise the majority of the target populations, describing all non‐adopters as a homogeneous population may be inaccurate and inappropriate. It is important to be able to identify differences, not only between adopters and non‐adopters, but also among non‐adopters, the latter providing a means of identifying the consumer segments likely to be profitable in the future. The first objective of this paper is to demonstrate the appropriateness of further segmenting the non‐adopter category based on motivations (intentions) to adopt internet‐banking by those who are “persistent non‐adopters” and those who are likely “prospective adopters”. The second objective of this paper is to further the understanding of the adoption process of internet banking by examining a range of diffusion factors that affect consumers’ adoption behavior.

This study identifies three adopter segments, persistent non‐adopters, prospective adopters, and adopters, in the diffusion of internet banking services based on individuals’ intentions to adopt internet banking and their actual adoption behavior, using the data collected by the Graphic, Visualization, & Usability Center and Georgia Tech Research Corporation. Selective adoption factors (i.e. perceived attribute importance of internet banking, perceived risk, compatibility with existing banking services, and compatibility with the internet and computer technologies) were used to predict individuals’ adoption status through multinomial logit modeling.

It was found that further segmenting the non‐adopter category revealed meaningful differences between prospective adopters and persistent non‐adopters. This study reflects that the previous research practice of bifurcating adoption categories (adoption versus non‐adoption) is oversimplified. The two qualitatively different segments, prospective adopters and persistent non‐adopters, should not be lumped together in the diffusion of internet banking.

This study provides comparison profiles of the three adopter categories and discusses marketing implications for segmentation.

A mail survey was conducted to identify personal characteristics, shopping patterns, and attitudes of potential innovators and non‐adopters of an interactive electronic shopping innovation. Differences among all potential adopter groups were also examined. A national sample of 2,500 US cable television subscribers were surveyed. Results suggested that strongest predictors of potential innovator and non‐adopter group memberships were perceived characteristics of the interactive shopping innovation including relative advantage over other shopping formats and compatibility with lifestyles. Also important were consumers’ prior shopping experiences with other nonstore retailers. Among potential adopters (i.e., innovators, early adopters, and followers), similar characteristics were exhibited, differing only by intensity. Managerial implications are discussed.

As a new research interest, robots have surpassed human performance across several aspects. In this research, the authors wish to investigate whether robot adopters perform better than non-adopters in terms of export behavior, especially when distinguishing between different types of firms.

The authors try a new strategy to identify the extent of robot adoption by import data and compare the export trajectories of robot adopters and non-adopters by employing the propensity score matching-difference in difference (PSM-DID) method.

The authors find that robot adopters are more likely to enter export markets and improve subsequent export performance, as the gains from doing so can spread the reduction in variable production costs to a larger customer base abroad. But this rule does not always seem to work; for large-scale firms, robot adoption makes it easier to win export competition and increase market share, while small and medium-sized enterprises (SMEs) do not seem to enjoy any benefits from adoption. More importantly, robot adoption also leads to the fiercer market competition when improving the productivity of firms, which will threaten smaller non-adopters.

The findings provide new evidence for the scale bias of robotics and offer new insights into whether exporters or future exporters ought to adopt robots in production.

1. First, distinguishing from existing research, we explain the controversial results of previous work on robotics by providing evidence from export markets and using the concept of size bias, which helps to update the theoretical interpretation of robotics and provides new insights for current and future exporters to evaluate their robot adoption decisions.

2. Second, we extend previous research by further considering the potential robotics threats faced by non-adopters, especially we record that export gains of robot adopters are partially at the expense of smaller non-adopters, which provides new evidence for the rationale of SME protection policies and supplements robotics theory with new knowledge, such as the competitive game of firms related to robot adoption.

3. Third, to our knowledge, prior research tended to examine the economic effects of robotics through industry data provided by the IFR, this may lead to systematic bias due to the inability to distinguish the robot adoption intentions of different firms. In this respect, we try a new strategy through robot import data and further distinguish between robot adopters and non-adopters in the sample, which helps to mitigate the potential bias in the findings and provide a complement to the recently developed literature related to robotics.

4. Finally, as we pointed out earlier, robot adoption could be an interesting research work for the Chinese export market, which helps us to obtain some special findings, such as in assessing whether the benefits of robots are equally appropriate for economies that previously had an advantage in terms of labor.

First, distinguishing from existing research, we explain the controversial results of previous work on robotics by providing evidence from export markets and using the concept of size bias, which helps to update the theoretical interpretation of robotics and provides new insights for current and future exporters to evaluate their robot adoption decisions.

Second, we extend previous research by further considering the potential robotics threats faced by non-adopters, especially we record that export gains of robot adopters are partially at the expense of smaller non-adopters, which provides new evidence for the rationale of SME protection policies and supplements robotics theory with new knowledge, such as the competitive game of firms related to robot adoption.

Third, to our knowledge, prior research tended to examine the economic effects of robotics through industry data provided by the IFR, this may lead to systematic bias due to the inability to distinguish the robot adoption intentions of different firms. In this respect, we try a new strategy through robot import data and further distinguish between robot adopters and non-adopters in the sample, which helps to mitigate the potential bias in the findings and provide a complement to the recently developed literature related to robotics.

Finally, as we pointed out earlier, robot adoption could be an interesting research work for the Chinese export market, which helps us to obtain some special findings, such as in assessing whether the benefits of robots are equally appropriate for economies that previously had an advantage in terms of labor.

This study aims to examine the effect of crop diversification (CD), as a climate change adaptation strategy, on farm household’s welfare in terms of farm income and demand for labor. It explores whether adoption of CD is a win-win strategy on household income and demand for on-farm labor. It also examines the determinants of rural household’s net farm income and family labor demand.

A household-plot level data were collected in 2015 from 929 rural farm households and 4,778 plots in the Nile Basin of Ethiopia. The data comprise farm and household characteristics accompanied by geo-referenced climate data such as long-term average temperature and amount and variability of growing season rainfall. The authors estimate an endogenous switching regression model to measure the effect of CD on the farm household’s welfare, using net farm income and household labor demand as a welfare indicator.

The results indicate heterogeneous effects of climate variables on farm income between adopters and non-adopters of CD. The study also confirms the win-win effect of adoption of CD with a positive and significant effect on farm income and a reduction in demand for on-farm labor. The results suggest that adoption of CD helps improve the well-being of farm households and build a resilient agricultural system.

As the study used a cross-sectional data, it is limited to show the time effect of practicing CD on the household’s welfare.

First, the authors investigate, to their knowledge for the first time, the existence of synergy or tradeoff in the effect of CD on two dimensions of rural households’ welfare (net farm income and labor demand). Second, they investigate the heterogeneous effect of climate change adaptation strategies on the farm household’s welfare between adopters and non-adopters. This is unlike previous studies that consider climate change adaptation strategies as having a homogeneous effect. However, this approach is inappropriate since the effect of adaptation strategies is different for adopters and non-adopters.

Aims to contribute to the teleworking literature by analysing the differences between teleworking adopters and non‐adopters regarding the use and impact of information and communication technologies.

Analyses the differences on the use and impact of information and communication technologies in a sample of Spanish companies. The data for the study come from a survey of a representative sample of 479 small and medium sized companies located in Galicia, a Spanish region in the northwest of the country. The data were obtained through interviews with the company managers (CEO, systems information manager, or technology manager) between May and October of 2003

The results indicate that teleworking companies have adopted more equipment (per company and per employee), and the differences are statistically significant for all type of information equipment but personal computers. Although there is a positive correlation between the number of equipment and firm size (number of employees), there are not statistically significant differences of firm size between teleworking adopters and non adopters. Firm size is not an explanatory variable of equipment use in the adopter companies.

Contributes to the teleworking literature by analysing the differences between teleworking adopters and non adopters regarding the use and impact of information and communication technologies

As innovative forms of information and communication technologies (ICTs) such as broadband internet are being adopted, the equitable distribution of ICTs has become an issue of concern. These apprehensions are being attributed to social exclusion that could arise due to the limited internet use among citizens with lower incomes or educational levels. This research aims to examine the impact of socio‐economic determinants, such as age, gender, education, income and occupation, on the adoption of broadband.

A survey research approach was employed to achieve the overall aim of this research. The empirical data of the socio‐economic variables was collected employing a postal survey in the UK.

The findings of this research suggest that in terms of broadband adoption, except for gender, all the other socio‐economic variables, including age, education, occupation and income, significantly helped to explain differences between the adopters and non‐adopters of broadband.

The implications of the findings are discussed in the context of promoting the adoption of emerging technologies such as broadband to parts of the population that have limited access to the internet and ICTs in general.

The primary value of this paper lies in extending the understanding of broadband adopters and non‐adopters according to their socio‐economic attributes. This has been achieved by synthesising the previous literature on a number of socio‐economic variables (such as age, gender, education, income and occupation) and also by empirically examining their effects on broadband adoption.

The Dodd–Frank Act of 2010 exempts small, non-accelerated filers from compliance with Sarbanes–Oxley Act (SOX) Section 404b internal control audits. However, these firms are required to comply with other internal control regulations, namely, SOX Sections 302 and 404a, starting in 2002 and 2007, respectively. A small number of these firms also voluntarily adopted (and sometimes dropped) Section 404b during 2004-2010. The purpose of this study is to investigate the impact of a series of internal control regulations introduced by SOX on the financial reporting quality of small firms.

The research design for this study is empirical. Using unsigned and signed discretionary accruals as measures of financial reporting quality, the authors compare the financial reporting quality for adopters and non-adopters across four regulation regimes over the period 2000-2010: PRESOX, SOX 302, SOX 404a and SOX 404b.

The results indicate that most of the adopters and non-adopters benefited from SOX 302 and 404a compared with the PRESOX period. However, only the non-adopters gained incrementally when moving from SOX 302 to SOX 404a. Also, Section 404b benefited firms with material weaknesses, as well as firms without material weaknesses that had the lowest reporting quality, in the PRESOX period.

This study helps inform the important policy debate on whether to increase the threshold that is used for the SOX 404b exemption. It shows incremental benefits for firms that adopted Section 404b audits, even when they were complying with Section 302 and Section 404a. Consequently, extending the exemption to more companies would result in a loss of the reporting quality benefit of 404b.

This study contributes to the literature by focusing exclusively on non-accelerated filers and by examining differences across four regulation regimes over a long window compared to prior studies. It provides evidence that the financial reporting benefit of SOX 404b is not transitional, but rather extends for a few years even after some firms discontinued the 404b audits.