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To overcome the high manual effort of assessments for teaching personnel, e‐assessment systems are used to assess students using information systems (IS). The purpose of this paper is to propose an extension of EASy, a system for e‐assessment of exercises that require higher‐order cognitive skills. The latest module allows assessing programming exercises in conjunction with particular test‐driven‐development and back‐to‐back testing.

EASy was developed following a design science research approach. To prove the effectiveness of the approach, the authors discuss findings from a survey that was conducted with almost 200 students from a programming lecture and present quantitative and qualitative findings.

Most students reflected positively on using EASy. EASy proves to be a versatile tool and the extension meets the authors' aims. Several details require further investigation, most notably usability and the support of tutors.

E‐assessment is a field that requires much future research to enable commercial‐scale systems for assessment of higher‐order cognitive skills. The authors' research is currently limited in the number of exercise types the system supports.

EASy is a research tool despite being used in actual lectures. It is not yet a general e‐assessment solution.

While EASy is a research prototype, its usage in lectures demonstrates the practicability of using e‐assessment. EASy currently is one of the few systems with advanced capabilities. The paper strongly contributes to the knowledge base on building e‐assessment systems; thus, it is relevant both for practitioners seeking to establish e‐assessment and to researchers trying to understand the future needs towards comparable systems.

In this paper, we investigate how digital technology disruptors and the incumbents who stand to be disrupted by them frame their arguments to transform or sustain existing institutional frameworks to enable or deter the market entry of these technologies. Using a longitudinal, comparative case analysis of three digital technologies – namely, voice over Internet protocol (VoIP), cloud antenna, and over-the-top (OTT) technologies – we explore how stakeholders use public interest frames for this purpose. We find that entrepreneurs use three specific frames to drive institutional change for the successful adoption of digital technologies in the presence of established incumbents and powerful regulators: frames that emphasize the broad public appeal of the new digital technology; frames that emphasize efficiency, democracy, and technological advancement; and frames that emphasize present as well as future benefits to the public. We find that constructing interpretations of what serves the public interest is the primary tactic used by disruptors to gain market entry, and an equally popular weapon for incumbents to block the entry of new digital technologies. These interpretations lead to a framing contest aimed at influencing regulators and obtaining a more favorable institutional environment. Our empirical findings illustrate that new digital technologies themselves are not the sole contributors to institutional change. Rather, institutional outcomes associated with the introduction of new digital technologies are shaped by how disruptors and incumbents use public interest frames and how regulators react to these frames.

Existing studies have been conducted to explain the process of digital transformation. This work aims to identify the paradoxes encountered by companies in undertaking digital transformation and the role of digital affordances in overcoming these paradoxes.

This study uses rich empirical data from four traditional Chinese manufacturers that have successfully achieved digital transformation to explain how companies can overcome the digital transformation paradox with the help of digital affordances.

The authors identify the paradoxes that traditional companies encounter when carrying out data transformation based on the experience of four Chinese traditional manufacturing enterprises that have successfully achieved digital transformation – the paradox of flexibility and stability of organization structure, the paradox of cost and profit and the paradox of perception between executives and employees. Based on this, we propose three digital affordances that play an important role in overcoming the digital transformation paradoxes – digital decentralization, digital agility and digital citizenship.

This study identifies three forms of critical digital affordances and introduces citizenship into digital transformation contexts.

This study investigates into how organizations enable the compatibility between intermediary role of conventional systems with disintermediary potentials of blockchain toward the coordination of multiple actors in operations management.

The data were collected from 31 interviewees of the case organizations. We conduct an in-depth case study of successful BC implementation in operations management, by using affordance-actualization (A-A) theory as the theoretical lens.

This study identifies the incompatibility between the affordances of conventional systems and blockchain in coordination/operations management and offers a process model in which a fusion phase enables the affordances to be compatible and then to be actualized. The fusion phase extends A-A theory by transposing and connecting in the context of operations management. The result also shows that blockchain technology has decentralized potentials to address the issues caused by centralized organizations or information systems, while not to replace the intermediary roles of centralized organizations or information systems.

This study makes important theoretical contributions to the literature on blockchain used in operations management, the roles of blockchain enablement and affordance-actualization theory. The findings can also help IT practitioners to implement BC-based applications effectively.

Sharing services increasingly extends beyond intraorganizational concentration of service delivery. Organizations have started to promote cooperation across their boundaries to deal with strategic tensions in their value ecosystem, moving beyond traditional outsourcing. This chapter addresses two research questions geared to the challenge of interorganizational shared services (ISS): why would organizations want to get and remain involved in ISS? And: what are the implications of ISS for (inter)organizational value creation?

The conceptual chapter reviews literature pertaining to ISS from public, commercial, and nongovernmental sectors. ISS is understood as a multistakeholder organizational innovation. In order to analyze ISS and conduct empirical research, we developed a taxonomy and research framework.

The chapter shows how ISS can be positioned in value chains, distinguishing vertical, horizontal, and hybrid ISS. It outlines ISS implications for developing business models, structures, and relationships. Success factors and barriers are presented that epitomize the dynamic interplay of organizational autonomy and interorganizational dependence.

The research framework offers conceptual ideas for theoretical and empirical work. Researchers involved in ISS studies may adopt strategic, strategic innovation, and organizational innovation perspectives.

ISS phases are distinguished to focus innovation management — initiation, enactment, and evaluation. Furthermore, insights are provided into processes and interventions aimed at making ISS a success for participating organizations.

Cross-sectoral perspective on ISS; taxonomy of ISS; research framework built on organization and strategic management literature.

One way organizations increase their competitive advantage is through innovative strategies that improve human performance. Human performance can be enhanced or constrained by situational factors that are introduced into the organization's work environment. One situational factor is the organization's workspace. This study examines the impact of a new workspace technology on individual privacy and on team interaction. The research found that the participants were generally satisfied with the visual privacy but not with the auditory privacy. The research also found that the participants were satisfied with the workspace's ability to facilitate team interaction. Implications of the findings are discussed.

There is little known about investigating the importance of all proximity dimensions simultaneously as a result of geographical proximity on university-industry collaborative innovation. This paper aims to answer the question of how geographically proximate university and industry influence cognitive, social, organizational, institutional and cultural proximity within university-industry joint laboratories and finally, what is the outcome of these interplays on collaborative innovation.

The study uses an exploratory multiple-case study approach. The results are derived from 53 in-depth, semistructured interviews with laboratory directors and representatives from both the company and the university within 8 joint laboratories of Telecom Italia (TIM). The data collection was carried out in 2014 and 2015. The analysis follows a multi-grounded theory approach and relies on a mix of deductive and inductive reasoning with the final goal of theoretical elaboration.

This study finds the role of social and cultural proximity at the individual level as a result of geographical proximity as an enabler of collaborative innovation by triggering mutual learning, trust formation and frequent interactions. Cognitive proximity at the interface level could systematically influence collaborative innovation, while organizational and institutional proximity has marginal roles in facilitating collaborative innovation. The qualitative analysis offers a conceptual framework for proximity dimensions and collaborative innovation within university-industry joint laboratories.

The framework not only advances state-of-the-art university-industry collaboration and proximity dimension but also offers guidance for managers in designing collaborative innovation settings between university and industry.

With this study, the paper advances the understanding beyond solely the relationship between proximity and collaboration and shed light on the interplay between geographical proximity and other proximity dimensions in this context, which has received limited scholarly attention.

Undoubtedly, digital transformation is permeating all domains of business and society. We envisage this volume as an opportunity to explore how manifestations of digital transformation require rethinking of our understanding and theorization of institutional processes. To achieve this goal, a collaborative forum of organization and management theory scholars and information systems researchers was developed to enrich and advance institutional theory approaches in understanding digital transformation. This volume’s contributions advance the three institutional perspectives. The first perspective, institutional logics, technological affordances and digital transformation, seeks to deepen our understanding of the pervasive and increasingly important relationship between technology and institutions. The second perspective, digital transformation, professional projects and new institutional agents, explores how existing professions respond to the introduction of digital technologies as well as the emergence of new professional projects and institutional agents in the wake of digital transformation. The third perspective, institutional infrastructure, field governance and digital transformation, inquires how new digital organizational forms, such as platforms, affect institutional fields, their infrastructure and thus their governance. For each of these perspectives, we outline an agenda for future research, complemented by a brief discussion of new research frontiers (i.e., digital work and sites of technological (re-)production; artificial intelligence (AI) and actorhood; digital transformation and grand challenges) and methodological reflections.

To better understand the role of industrial big data in promoting digital transformation, the authors propose a theoretical framework of industrial big-data-based affordance in the form of an illustrative metaphor – what the authors call the “organizational drivetrain.”

This study investigates the effective use of industrial big data in the process of digital transformation based on the technology affordance–actualization theoretical lens. A software platform and services provider with more than 4,000 industrial enterprise clients in China was selected as the case study object for analyzing the digital affordance and actualization driven by industrial big data.

Drawing on a revelatory case study, the authors identify three affordances of industrial big data in the organization, namely developing data-driven customized projects, provisioning equipment-data-driven life cycle services, establishing data-based trust and determining affordance actualization actions driven by technology and market. In addition, the authors reveal the underlying drivetrain mechanisms to advance industrial big data affordance and actualization: stabilizing, enriching and pioneering.

This study builds a drivetrain model on digital transformation by industrial big data affordance actualization. The authors also provide practical implications that can help practitioners to implement digital transformation effectively and extract value from their investment.

Social movements are heterogeneous because they attract organizations from other movements and encourage activists to create organizations “indigenous” to the movement. This chapter examines the structural and technical differences between these kinds of organizations. Employing a contingency theory framework, it is shown that older “spill over” groups are much more likely to be multi-issue national organizations with particular organizational structures. Then, it is shown that these older groups have correlated environments and internal structures, but not their more contemporary counterparts. Finally, it is shown that the adoption of a new technology, the Facebook group, is mainly a path dependency outcome, and not correlated with contingency factors.