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To construct and test, through its application to a real case study, a methodology that generates contingencies for the evolution of a company or an industry's reference business model (BM) under the impact of a technology innovation.

The paper draws on theoretical predicaments of organizational development and scenario planning as well as more recently published works (2001‐2004) on BM design and change in order to build the primary steps of the methodology. A contingency approach is applied for selecting among alternatives the most suitable future BM. The usefulness and applicability of the provided methodology are proved through a real case study that concerns changing the exhibition's industry reference BM under the impact of a mobile innovation.

The proposed methodology is primarily useful in cases where a strategic manager wishes to draw and assess not one totally new BM but a set of scenarios that reflect alternative configurations for its current BM evolution. Such a methodology needs to be complemented with a contingency framework for guiding the selection of the scenario that better suits the internal and external environment of the company.

It is expected that related theories, such as the theory of Industrial Organization and the theory of Network Economics, also need to be examined under the light of BM change to identify and cross‐validate factors that contribute to the design and assessment of BMs.

The ultimate utility of the proposed methodology is as a road‐map for leading change in the value‐creation logic of a firm, taking advantage of an advanced technology solution. By continuously changing their BM, and identifying new ways to deliver value to their customers, firms aspire to obtain and sustain a competitive advantage in high‐velocity environments.

This paper fulfils an identified research gap for a structured approach towards changing the BM of a firm, which introduces a technology innovation by keeping the principles of the old (traditional) business logic and taking into account the effects incurred from the firm's internal and external environment.

The purpose of this paper is to study the mechanism through which decisions on the preferred governance mode of strategic technology alliances are made at the firm level.

The author constructed a value‐mediated governance model that is empirically tested through a survey of 57 strategic alliances in the Greek wireless services industry and estimated through a Structural Equation Modeling technique, namely Partial Least Squares.

Quasi‐hierarchy governance modes are preferred by firms assessing their current value as high, and lacking fear of partners' opportunistic behavior. Quasi‐market alliances are preferred by firms having high expectations for the future value of the alliance, and facing high endogenous uncertainty resulting from the existence of a competitive relationship with the partner.

While the resource and cost perspectives are founded on diverse assumptions on firms' ability to write complete contracts, their implications for the firms' decision‐making behaviour on the alliance governance issue seem to be complementary to those of the value perspective.

Transitional governance forms, quasi‐market alliances that evolve to quasi‐hierarchy alliances, seem to be preferred in emerging technology‐based environments.

The Expected Alliance Value concept is introduced to explain how exogenous uncertainty characterizing the environment of emerging technology‐based industries can influence the already investigated effects of the partner uncertainty and the firm's current value on the alliance governance preferences.

Strategic alignment is a theory-based state that is considered as crucial for organizations in order to realize performance gains from information technology (IT) investments and deployments. Within the domain of purchasing and supply chain management there has been a growing interest on how purchasing strategy can be effectively aligned with IT and what conditions facilitate this state. The purpose of this paper is to investigate complex causal relationships of contingency elements that are key in enabling the “fit” between purchasing strategy and IT.

The paper employs a configuration theory approach and propose that purchasing alignment is dependent upon patterns of multiple contingencies. In adherence with contingency theory, the authors group these elements as relating to strategic orientation, organizational factors, and purchasing decisions. On a sample of 172 international companies the authors then apply the novel methodology of fuzzy set qualitative comparative analysis (fsQCA).

The paper empirically demonstrates that depending on the strategic orientation that a company follows, there are alternative combinations of elements that lead to high purchasing alignment. For companies following an operational excellence strategic orientation, a high contract binding scheme, or a small firm size facilitates purchasing alignment. Enabling elements for product leadership companies include a decentralized purchasing structure, a broad supplier base, and a large firm size. Purchasing alignment for customer intimacy companies is supported by a centralized purchasing structure, loose contract binding, and a large supplier base.

The findings of this study suggest that practitioners aiming to attain a state of purchasing alignment should consider a number of contingency elements in the process. The paper shows that there is equifinality in the configurations that lead to purchasing alignment. This means that attaining purchasing alignment is dependent upon various clusters of contingency elements which must be taken into account when formulating a purchasing strategy.

In contrast with past studies examining purchasing alignment as a result of the isolated impact of several antecedents, we applied a configuration theory approach to demonstrate that it is facilitated by the combined impact of a set of cause-effect relationships. In cases were non-linear and synergistic relationships exist between independent variables, this type of research may be a viable alternative.

Satisfaction and experience are essential ingredients for successful customer retention. This study aims to verify the moderating effect of experience on two types of relationships: the relationship of certain antecedents with satisfaction, and the relationship of satisfaction with intention to repurchase.

This paper applies structural equation modelling (SEM) and multi-group analysis to examine the moderating role of experience in a conceptual model estimating the intention to repurchase. Responses from 393 people were used to examine the differences between high- and low-experienced users of online shopping.

The research shows that experience has moderating effects on the relationships between performance expectancy and satisfaction and satisfaction and intention to repurchase. This study empirically demonstrates that prior customer experience strengthens the relationship between performance expectancy and satisfaction, while it weakens the relationship of satisfaction with intention to repurchase.

Practitioners should differentiate the way they treat their customers based on their level of experience. Specifically, the empirical research demonstrates that the expected performance of the online shopping experience (performance expectancy) affects satisfaction only on high-experienced customers. Instead, the effort needed to use online shopping (effort expectancy) and the user's belief in own abilities to use online shopping (self-efficacy) influence satisfaction only on low-experienced customers. The effect of trust and satisfaction is significant on online shopping behaviour on both high- and low-experienced customers.

This paper investigates how different levels of experience affect customers' satisfaction and online shopping behaviour. It is proved that experience moderates the effect of performance expectancy on satisfaction and the effect of satisfaction on intention to repurchase. It also demonstrates that certain effects (effort expectancy and performance expectancy) are valid for only one of the two examined groups, while only one effect (trust) is valid for both (high- and low-experienced).

While the dynamic capabilities perspective is the most cited strategic theory in the information systems field of research, little effort has been made to review and integrate the associate literature of this perspective in the field. Accordingly, this paper aims to systematically analyze the information systems literature on dynamic capabilities and provide a holistic understanding of the topical composition and trend of dynamic capabilities studies in information systems research.

Using latent Dirichlet allocation as the text analysis algorithm, the author conducted a topic modeling of the dynamic capabilities corpus in the information systems field of research to quantitatively review, summarize and classify the prior literature. The review covered 191 articles published on dynamic capabilities between 1998 and 2018 in pioneering information systems journals and conference proceedings.

In accordance with the topic modeling results, the topical composition of the dynamic capabilities corpus in information systems research dominantly includes seven themes titled T1. Information systems value, T2. Information systems change, T3. Digitalization, T4. Information systems agility, T5. Big data, T6. Information systems innovation and T7. Information systems alignment. Also, the overall and topical trend of dynamic capabilities studies in the information systems field of research were revealed. The trends indicated that the investigated domain and its prominent sub-domains have generally had positive productivity over the past years.

The current study contributes to the domain by developing knowledge and improving literature on dynamic capabilities in information systems research, discovering the main topics of interest for information systems researchers to deploying the dynamic capabilities perspective in their studies, and prioritizing the future information systems research on dynamic capabilities based on the identified trends of topics.

Despite the existing literature on the impact of IT capability and innovation capabilities, this study examines how IT-enabled dynamic capability dimensions impact on firm innovative capability to achieve organizational performance.

Drawing on the dynamic capability theory, this study empirically investigates the entire chain of relationships among dynamic capability, innovative capability, organizational performance and turbulent environment.

Using the data from 254 Chinese firms, this study reveals IT-enabled dynamic capability dimensions have positive and significant relationship with firm innovative capability types, which in turn have significant relationship with organizational performance except the process innovation.

This study contributes to the growing information systems literature and also suggests theoretical and practical implications.

This study examines IT-enabled dynamic capability with firm innovative capability types, which has received limited attention in the past.