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The lack of authority of the sponsoring firm in online communities raises questions about how to orchestrate members of an online community in value co-creation. Hence, this study aims to examine how online communities co-create value with community members. The authors draw upon service-dominant logic (SDL) to study two comparable, and yet different, Indonesian firm-sponsored online communities.

The authors build on an earlier systematic literature review and triangulate it with semi-structured interviews of 28 community members and content analysis of over 35,000 online comments. The data collection was conducted from February to October 2018.

The findings revealed that (1) value co-creation in online communities is orchestrated through the fluidity of the online community, which is represented by three mechanisms: consensus-making, consensus settlement and changing boundaries, and (2) the mechanisms can be conditioned by switching firm roles (as a co-creator and facilitator).

The study has enriched the body of knowledge in fluid organisations by explicating three mechanisms, consensus-making, consensus settlement and changing boundaries, that explain the coordination efforts between individuals who have options to participate or not and changing boundaries, that reveals actors' responses in online communities. The mechanisms demonstrate the dynamics of a service ecosystem.

This study offers valuable insights into how sponsoring firms orchestrate value creation in online communities where they do not have full control of participants' reactions. The authors hereby contribute to enriching the understanding of co-creating value with customers in a fluid organisation, such as online communities.

Much of recent academic and professional interest in exploring digital transformation and enterprise systems has focused on the technology or the organizations' external forces, leaving internal factors, in particular employees, overlooked. The purpose of this paper is to explore digital literacy of employees as an organizational affordance to capture contextual factors within which digital technologies are situated and are used.

We used the evidence-based practice for information systems approach, and undertook a systematic literature review of 30 papers coupled with brainstorming with 11 professional experts on the neglected topic of digital literacy and its assessment.

This paper draws upon affordance theory, and develops a novel framework for conceptualization of digital literacy of employees as an organizational affordance. We do this by distinguishing digital literacy at the individual level and organizational level, and by assessing digital literacy through Information/Cognitive and Social Practice/Articulation affordances.

The current paper contributes to the notion of organizational affordances by examining the effect of interactions between employee-technology through digital literacy of employees in using digital technologies. We offer a novel conceptualization of digital literacy to improve understanding of the role of employee in digital transformation and utilization of enterprise systems. Thus, our definition of digital literacy offers an extension to the recent discussions in the IS literature regarding the actualization of affordances by bringing a lens of employees into the process.

This paper operationalizes digital literacy at organizational and individual levels, and offers managers a high-level tool to assess digital literacy of their employees. By doing so, managers can achieve the fit between employees' capabilities and digital technologies that will improve affordance actualization and support their digital transformation initiatives.

The study is one of early attempts to apply and extend affordance theory on digital literacy at organizational level by not limiting the concept to the individual level. The proposed framework improves the communication among researchers and between researchers and practitioners.

Research into the interpretability and explainability of data analytics and artificial intelligence (AI) systems is on the rise. However, most recent studies either solely promote the benefits of explainability or criticize it due to its counterproductive effects. This study addresses this polarized space and aims to identify opposing effects of the explainability of AI and the tensions between them and propose how to manage this tension to optimize AI system performance and trustworthiness.

The author systematically reviews the literature and synthesizes it using a contingency theory lens to develop a framework for managing the opposing effects of AI explainability.

The author finds five opposing effects of explainability: comprehensibility, conduct, confidentiality, completeness and confidence in AI (5Cs). The author also proposes six perspectives on managing the tensions between the 5Cs: pragmatism in explanation, contextualization of the explanation, cohabitation of human agency and AI agency, metrics and standardization, regulatory and ethical principles, and other emerging solutions (i.e. AI enveloping, blockchain and AI fuzzy systems).

As in other systematic literature review studies, the results are limited by the content of the selected papers.

The findings show how AI owners and developers can manage tensions between profitability, prediction accuracy and system performance via visibility, accountability and maintaining the “social goodness” of AI. The results guide practitioners in developing metrics and standards for AI explainability, with the context of AI operation as the focus.

This study addresses polarized beliefs amongst scholars and practitioners about the benefits of AI explainability versus its counterproductive effects. It poses that there is no single best way to maximize AI explainability. Instead, the co-existence of enabling and constraining effects must be managed.

The research aims to understand the co-existence of nimbleness and resilience in a continuous digital transformation, along with the dynamic capabilities needed to balance the challenges of their co-existence.

The current study draws on dialogical action design research (D-ADR) to investigate interactions among practitioners and executives. Data are collected from a major Australian financial services organisation (FSO) and many international experts.

The study presents a framework, the continuous transformation model (CTM), to describe digital transformation within an FSO context, emphasising nimbleness and resilience as its foundational pillars. This framework facilitates the identification of the critical role of organisational capabilities in managing continuous digital transformation, supported by dynamic IT capabilities. More importantly, the findings underscore how these capabilities enable managers to effectively balance the coexistence of nimbleness and resilience.

The CTM contributes to the enterprise information systems literature by offering a coherent understanding of balancing resilience and nimbleness to succeed in digital transformation. In particular, the research model elucidates the relationship between dynamic capabilities and continuous digital transformations.

Digital transformations are not a one-off exercise. Managers in the FSO context must cultivate their organisational capabilities to achieve nimbleness and resilience during their digital transformation journey.

The relationship between dynamic capabilities and continuous digital transformation sheds light on establishing successful management processes within FSOs.

The purpose of this paper is to explore enablers and constraints in value co-creation in sponsored online communities, and to identify firm roles in shaping value co-creation. The structured analysis is translated into strategies for practitioners and for guiding future research.

The authors systematically review and synthesise the literature to develop a comprehensive model of value co-creation.

The literature review findings have led to the identification of four actors in sponsored online communities, revealed enablers and constraints for value co-creation in online communities, and provided insight into the simultaneous roles of sponsoring firm (co-creator and facilitator) and the interrelationship between them.

Like other systematic literature review studies, the findings are limited by what was reported in the papers selected for the review. The authors contribute to service-dominant logic (SDL) by bridging the macro level to the empirical level, and add to our understanding of the sociomateriality theory by capturing constraints and enablers coming from various actors.

The extracted enablers and constraints guide decision makers to better design, asses, monitor and support sponsored online communities. The findings also inform how to orchestrate the two sponsoring firm roles so that the online community is still attractive for the members and creates value for the sponsoring firm.

Given the variety of disciplines dealing with value co-creation, and given the plenitude of definitions and related concepts, this study consolidates the existing knowledge and models how value is co-created in online communities.

The purpose of this paper is to examine how public sector organizations become nimbler while retaining their resilience during digital transformation.

The study adopts a hermeneutic approach in conducting deep expert interviews with 22 senior executives and managers of multiple organizations. The method blends theory and expert views to study digital transformation in the context of enterprise information management.

Drawing on technology enactment framework (TEF), this research poses that organizational form is critical in the enactment of technologies in digital transformation. By extending the TEF, the authors claim that organizations are not in pure bureaucratic or network organizational form during digital transformation; instead, they need a hybrid combination in order to support competing strategic needs for nimbleness and resilience simultaneously. The four hybrid organizational forms presented in this model (4R) allow for networks and bureaucracy to coexist, though at different levels depending on the level of resiliency and nimbleness required at each point in the continuous digital transformation journey.

The main theoretical contribution of this research is to extend the TEF to illustrate that the need for coexistence of nimbleness with stability in a digital transformation results in a hybrid of networks and bureaucratic organization forms. This research aims to guide public sector organizations' digital transformation with extended the TEF as a tool for building the required organizational forms to influence the technology enactment to best meet their strategic needs in the digital era.

The results from expert interviews point to the fact that the hybrid organizational forms create a multi-modal organization, extending the understanding of enterprise information management. Depending on the department or business needs, a hybrid organizational form mode would be dominant. This dominance creates a paradox in organizations to handle both resilience and nimbleness. Therefore, the 4R model is provided as a guide to public sector managers and consultants to guide strutting their organization for digital transformation.

The model (4R), the extended TEF, shows that organizations still work towards networks and bureaucracy; however, they are not two distinct concepts anymore; they coexist at different levels in hybrid forms depending on the needs of the organization.

In the pharmaceutical industry, marketing and sales managers often deal with massive amounts of marketing and sales data. One of their biggest concerns is to recognize the impact of actions taken on sold-out products. Data mining discovers and extracts useful patterns from such large data sets to find hidden and worthy patterns for the decision-making. This paper, too, aims to demonstrate the ability of data-mining process in improving the decision-making quality in the pharmaceutical industry.

This research is descriptive in terms of the method applied, as well as the investigation of the existing situation and the use of real data and their description. In fact, the study is quantitative and descriptive, from the point of view of its data type and method. This research is also applicable in terms of purpose. The target population of this research is the data of a pharmaceutical company in Iran. Here, the cross-industry standard process for data mining methodology was used for data mining and data modeling.

With the help of different data-mining techniques, the authors could examine the effect of the visit of doctors overlooking the pharmacies and the target was set for medical representatives on the pharmaceutical sales. For that matter, the authors used two types of classification rules: decision tree and neural network. After the modeling of algorithms, it was determined that the two aforementioned rules can perform the classification with high precision. The results of the tree ID3 were analyzed to identify the variables and path of this relationship.

To the best of the authors’ knowledge, this is one of the first studies to provide the real-world direct empirical evidence of “Analytics of Physicians Prescription and Pharmacies Sales Correlation Using Data Mining.” The results showed that the most influential variables of “the relationship between doctors and their visits to pharmacies,” “the length of customer relationship” and “the relationship between the sale of pharmacies and the target set for medical representatives” were “deviation from the implementation plan.” Therefore, marketing and sales managers must pay special attention to these factors while planning and targeting for representatives. The authors could focus only on a small part of this study.