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The purpose of this paper is to address the issues of correlated events and individual heterogeneity in multiple best management practices (BMPs) adoption.

The authors used survey data collected from broiler producers in Louisiana, USA. The authors estimated several duration models that either considered event dependence or heterogeneity or both.

Results from the conditional frailty model indicated that large farms adopt BMPs earlier, farmers who have been in broiler farming profession for a long time are late to adopt BMPs and more informed farmers, through contact with extension agents and education, are early adopters of BMPs.

The limitation of this study is that the authors did not validate the robustness of the conditional frailty model using a more rigorous approach, such as empirical simulation method.

Many farmers do not adopt a new technology immediately after it becomes available. Duration models help to understand why farmers wait and how long they wait before adopting a new technology. In case of correlated events, where farmers adopt more than one technology, it is important to know the driving factors behind multiple technologies adoption. The findings from this study should help to properly target farmers to increase the adoption rate of a desired BMP.

This is the first study in agriculture technology adoption literature that uses a conditional frailty model to understand why farmers wait to adopt a new technology. This study also addresses both dependence in BMP adoption and heterogeneity in farmers’ quality that impact technology adoption.

The adoption of climate-smart agricultural practices (CSAPs) is important for sustaining Indian agriculture in the face of climate change. Despite considerable effort by both national and international agricultural organizations to promote CSAPs in India, adoption of these practices is low. This study aims to examine the elements that affect the likelihood and intensity of adoption of multiple CSAPs in Bihar, India.

The probability and intensity of adoption of CSAPs are analyzed using multivariate and ordered probit models, respectively.

The results show significant correlations between multiple CSAPs, indicating that their adoptions are interrelated, providing opportunities to exploit the complementarities. The results confirm that both the probability and intensity of adoption of CSAPs are affected by numerous factors, such as demographic characteristics, farm plot features, access to market, socio-economics, climate risks, access to extension services and training. Farmers who perceive high temperature as the major climate risk factor are more likely to adopt crop diversification and minimum tillage. Farmers are less likely to adopt site-specific nutrient management if faced with short winters; however, they are more likely to adopt minimum tillage in this case. Training on agricultural issues is found to have a positive impact on the likelihood and the intensity of CSAPs adoption.

The major policy recommendations coming from of our results are to strengthen local institutions (public extension services, etc.) and to provide more training on CSAPs.

By applying multivariate and ordered probit models, this paper provides some insights on the long-standing discussions on whether farmers adopt CSAPs in a piecemeal or in a composite way.

Multiple adoption (the adoption of another auction site in addition to the present one) enables startup or non-leading firms to survive and grow by eroding the customer bases of market leaders. Thus understanding multiple adoption is important. Hence, the purpose of this paper is to propose and examines antecedents of user intention to adopt another online auction site.

This study utilized a cross-sectional design and an online survey, obtaining 495 valid responses.

Analytical results indicate that self-efficacy and inherent novelty seeking contribute to the intention to adopt another auction site. Moreover, transaction opportunities enhance the intention. Perceived network externality also increases the intention. However, perceived relational switching costs reduce such intention.

This study is new in investigating why users intend to use another auction site and identifying the antecedents.

The spatial and psychological distance within agri-food chains provides both profit and risk for supply chain members. Grounded on the transaction cost economics (TCE) and institutional theory (IT), the purpose of this paper is to test whether the adoption of multiple supply chains (MSCs), which adopt both traditional and shortened supply chains, can be used to manage uncertainty and mitigate the risk associated with a supply chain.

In order to test the hypothesis, matched questionnaire surveys were developed to collect the data from farm managers and consumers. Completed questionnaires were received from 112 respondents. The hierarchical regression analysis was performed to test hypotheses.

The result shows the positive effects of environmental and behavioral uncertainties on MSC adoption and represents the diminished moderating effects of institutions (industrial and consumption tendency) on the relationship between uncertainties and MSA adoption.

This study only explored producers and their recommended consumers; future studies can undertake questionnaire designs (one producer-to-many consumers) and empirical analyses with analytic hierarchy process theory to reexamine the hypotheses proposed in this study.

MSC adoption is a way to manage uncertainties resulting from spatial and psychological distance in the supply chain. Producers and consumers show their risk preferences by SC adoption after considering pre-constructed societal norms. Therefore, the consumers’ and producers’ choice of a supply chain reflects a process of communicating risk. The adoption of a mixed governance mode (MSC adoption) and accessing information about common practices are two ways to decrease such uncertainties.

There are multiple goals (traceability, fairness, efficiency, well-being) in the food supply chain that may be satisfied by MSC adoption. Therefore, policymakers should understand the different values of various supply chains and facilitate the development of various supply chain modes.

This study integrated the undersocialized and oversocialized perspectives (TCE and IT) to understand how uncertainties of supply chains may be diminished. Based on these perspectives, it found that the adoption of the mixed governance mode and accessing of institutional information are two ways to decrease such uncertainties.

This paper aims to extend current understanding of organisational choice theory through examining to what extent firm‐level factors influence the growth of franchisee‐owned mini‐chains within Australian franchise systems. In particular, this study examines how the age of the system, corporatisation of management processes, plurality of distribution, levels of intra‐firm conflict and franchise system complexity influence multiple unit franchising adoption.

A qualitative methodology was adopted to gain a clearer picture of the salient issues influencing multiple unit franchising adoption from the franchisor's perspective.

The research reveals that mature franchise systems in Australia use sequential methods of multiple unit franchising expansion in order to minimise adverse selection costs and leverage learning economies derived from previous experiences in managing intra‐firm channel relationships.

Industry‐specific influences and differences in managerial orientations may limit the predictive application of this study to all franchise systems. However, on balance the reflections offered by the participants provide a rich and valuable source of information about the factors influencing their willingness to encourage this growth strategy.

Franchisors need to consider upfront whether they are ready and able to encourage multiple unit ownership within their systems. Less experienced franchisors may need to corporatise operations, minimise channel conflict and introduce administrative support procedures to ensure the recruitment of suitable franchisee candidates who will assist in realising the franchisor's goals, thus promoting a harmonious franchising relationship.

Whereas, previous research has investigated motivations for encouraging multiple unit franchising, this paper supplements that literature by examining multiple unit franchising within Australia.

Three-dimensional (3D) printing (3DP) offers a promising value proposition across multiple manufacturing industries. Despite the variety of production benefits the technology entails, its rate of adoption is still low compared to industry forecasts. In face of this challenge, industry as well as academia requires more information and guidance. This review aims to examine the characteristics of the existing body of research on the organizational adoption of 3DP as well as its underlying theoretical concepts. The most common criteria driving adoption will be derived, such as to facilitate the managerial decision-making process. Pathways for future research will be presented.

This study underlies a bibliometric literature review and additionally applies content analysis to systematically investigate the existing body of research and group decision criteria along the four major pillars of strategic decision-making.

The contributions of this paper are threefold. First, the bibliometric analysis reveals interesting aspects of the existing body of research. The most prominent characteristics of the contemporary literature are reflected along descriptive indicators, such as industry, method, model, origin, research outlet or adoption drivers, thus granting relevant insights into academia and practice. Second, the most notable adoption models are carefully analyzed on their inherent attributes and their application fit for the context of organizational 3DP adoption. Findings, for instance, revealed the dominance of diffusion of innovation (DOI) across the existing body of research and divulge that this construct is generally applied in combination with user-centered decision frameworks to yield more precise results. Third, an ample range of opportunities for future research are detected and thoroughly explained. Among others, the authors identified a clear lack of information on the impact environmental variables and contingency factors exerted on the organizational adoption of 3DP. Guidance in relation to the sourcing of industry data, usage of adoption frameworks and avenues for future scientific projects is supplied.

This study represents the first semi-systematic literature review on the organizational adoption of 3DP. Thus, it not only offers a valuable evaluation guide for potential adopters but also determines a future research agenda.

The purpose of this paper is to reveal the core determinants and adoption patterns of the major enterprise information systems.

This study incorporated the core representative and meaningful explanatory variables in the major previous literatures and analyzes the core determinants of businesses' adoption of the essential information systems and the substitutionary patterns among them, using a Bayesian multivariate probit model, which is based on McFadden's random utility model and capable of handling multiple response data.

It was found that not only factors from the classical technological diffusion viewpoint but also factors such as organizational tools and strategic behaviors play an important role in firms' adoption of information systems. Specifically, epidemic effect generally outweighs size effect, and putting more effort into the intensity of information strategy planning is more influential than the hiring of a professional chief information officer. On the other hand, such variables as age of the firm, labor intensity, and number of PCs per person generally have no significant impacts. Finally, a relatively strong complementary relationship exists between enterprise resource planning and customer relationship management adoption, and between e‐buy and groupware adoption.

The results presented in this paper have important implications for firms on a minimal budget that want to maximize their productivity through the adoption of information systems. They also provide important information for government policymakers whose job it is to design strategies for the successful deployment of information systems.

The two main objectives of this study are to systematically and formally test for differences in the impact of various determinants of e‐commerce adoption depending on the current level of e‐commerce, and to investigate the possible direct impact of the current level of adoption on the intention to further adopt.

A conceptual framework is developed from the literature. The model is tested using survey data from 98 small and medium‐sized enterprises in The Netherlands.

The results indicate significantly smaller effects of both knowledge and satisfaction for companies at the advanced level of e‐commerce compared with companies at the basic level. The current adoption level has a highly significant positive direct effect on adoption intention. These findings imply that at the higher levels of adoption the classical adoption determinants have less effect and other less explored factors are more important.

This study is one of the first empirical studies to deal with multiple levels of innovation adoption. It is concluded that, when innovations can be adopted at various levels, the determinants of innovation adoption vary between different levels of adoption. This finding deserves further attention from researchers, consultants and policy makers.

This paper aims to assess the determinants of food certificate adoption and analyse the impacts of food certificates on e-commerce income among small online agri-food sellers in Indonesia.

The authors used data from an online survey of 228 small-online agri-food sellers in East Java, Indonesia. This study aims to focus on two food certificates: a mandatory Halal (Islamic dietary law) certificate and the P-IRT certificate, a food safety certificate for home-based businesses. A maximum simulated likelihood (MSL) estimator was employed to account for selection bias and endogeneity.

The study highlights the continued importance of certification in agri-food markets, including e-commerce and the need to consider the degree of substitutability and resource allocation between multiple food certificates. It finds that online agri-food sellers adopting the Halal certificate earn two to three times higher compared to non-adopters. Conversely, the gross income per month from e-commerce sales is 78% lower among those adopting the P-IRT certificate. Moreover, access to regulatory information sources motivates the likelihood of adopting food certificates. In contrast, the business size, marketing channels, contractual relationship and management capabilities are insignificant factors for the adoption of any of the Halal and P-IRT certificate combinations.

Results from this research might be specific to the context of the focus study area, thereby reducing their generalisability. In addition to gathering representative samples, future research should also capture more complex dimensions of food certificates. These include the cost of acquiring food certificates, online sellers' perceptions of food certificate adoption, and emerging topics such as group certification and the use of technology.

To the authors' knowledge, this research is one of the first studies investigating the adoption of food certificates within the e-commerce setting. This study also contributes to the small number of studies looking at multiple certificate adoption and food certificate issues from the retailers' perspectives

There is considerable literature on the firm's market servicing mode (MSM) when it enters the foreign country. However, scant research has been conducted to examine how business-level strategies (BLSs) affect internationalised firms to choose a multiple rather than single post-entry MSM. The purpose of this paper is to test the effect of three BLSs on firms’ selection of multiple MSMs.

Survey responses of 165 internationalised Greek small- and medium-sized enterprises (SMEs) were collected capturing the types of BLSs they used during 2008-2010 and their number of MSMs in a particular foreign country in 2011. The data were analysed using logistic regression.

The findings suggest that firms that implement collaborative and differentiation strategies are more likely to use multiple rather than single MSMs. Firms that implement penetration pricing strategies are more likely to use single MSMs, although this effect is marginally significant. Overall, the validity of the strategic choice model regarding the choice of multiple MSMs is confirmed.

Despite its importance, the effect of BLSs influencing MSMs has not seemingly been investigated, especially in the context of internationalised SMEs as opposed to large multinational enterprises; and, for post-entry as opposed to initial modes. The findings underline the BLS significance on internationalised SME adoption of multiple vs single MSMs in the host country.