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There are five factors acting as a barrier to the effective evaluation of educational technology (edtech), which are as follows: premature timing, inappropriate techniques, rapid change, complexity of context and inconsistent terminology. The purpose of this paper is to identify new evaluation approaches that will address these and reflect on the evaluation imperative for complex technology initiatives.

An initial investigation of traditional evaluative approaches used within the technology domain was broadened to investigate the evaluation practices within social and public policy domains. Realist evaluation, a branch of theory-based evaluation, was identified and reviewed in detail. The realist approach was then refined, proposing two additional necessary steps to support mapping the technical complexity of initiatives.

A refined illustrative example of a realist evaluation framework is presented, including two novel architectural edtech domain reference models to support mapping.

Recommendations include building individual evaluator capacity; adopting the realist framework; the use of architectural edtech domain reference models; phased evaluation to first build theories in technology “context” and then iteratively during complex implementation chains; and community contribution to a shared map of technical and organisational complexity.

This paper makes a novel contribution by arguing the imperative for a theory-based realist approach to help redefine evaluative thinking within the IT and complex system domain. It becomes an innovative proposal with the addition of two domain reference models that tailor the approach for edtech. Its widespread adoption will help build a shared evidence base that synthesizes and surfaces “what works, for whom, in which contexts and why”, benefiting educators, IT managers, funders, policymakers and future learners.

This study aims to investigate the effectiveness of a theory-driven realist evaluative research approach to better understand complex technology implementations in organizations.

An institution wide e-learning implementation of lecture capture (LC), within a UK University, was chosen, and a realist evaluation framework was used, tailored for educational technology. The research was conducted over four, increasingly focused, evaluation cycles combining engagement analytics, user interviews and theory to refine what works (or does not work), for whom, in which contexts and why.

Despite explicit demand and corresponding investment, overall student engagement is lower than expected. Increased student use appears linked to particular staff attitudes and behaviours and not to specific disciplines or course content. The main benefits of LC are providing reassurance to the majority, aiding revision and understanding for the many and enabling catch-up for the few. Recommendations for future research are based on some unexpected outcomes uncovered, including evolving detrimental student behaviours, policy development based on technological determinism and future learner-centred system development for next-generation LC technologies.

The realist approach taken, and evaluation framework used, can be adopted (and adapted) for future evaluative research. Domain specific reference models, categorizing people and technology, supported analysis across multiple contexts.

This study responds to a call for more theory-based research in the field of educational technology. The authors demonstrate that a theory-driven approach provides real and practical recommendations for institutions and allows for greater insight into the political, economic and social complexity of technology implementation.

Smart industry initiatives focus on intelligent and interconnected cyber-physical systems. These initiatives develop complex technical architectures that integrate heterogenous technologies, causing significant organizational complexity. Tapping into the digital capabilities of distant partners while capturing profit from such innovation is demanding. Furthermore, firms often need to establish and orchestrate inter-organizational collaborations without prior relations or established trust. As a result, smart industry initiatives bring together disparate organizational forms and institutional environments, distinctive knowledge bases, and geographically dispersed organizations. We conceptualize this organizational capability as ‘distant capabilities integration’. This research explores the governance mechanisms that support such integration and their relation to value capture. We analyse 11 IoT case studies organized in three categories (process, product and technologies) of smart industry initiatives. Building on existing literature, we consider different ways to describe distance, including knowledge heterogeneity and organizational, geographical, institutional, cultural and cognitive distance. Finally, we describe the governance mode appropriate for upstream (developing foundational technologies) and downstream (leveraging existing distant technologies) smart industry initiatives.

The strategic management literature emphasizes the concept of business intelligence (BI) as an essential competitive tool. Yet the sustainability of the firms’ competitive advantage provided by BI capability is not well researched. To fill this gap, this study attempts to develop a model for successful BI deployment and empirically examines the association between BI deployment and sustainable competitive advantage. Taking the telecommunications industry in Malaysia as a case example, the research particularly focuses on the influencing perceptions held by telecommunications decision makers and executives on factors that impact successful BI deployment. The research further investigates the relationship between successful BI deployment and sustainable competitive advantage of the telecommunications organizations. Another important aim of this study is to determine the effect of moderating factors such as organization culture, business strategy, and use of BI tools on BI deployment and the sustainability of firm’s competitive advantage.

This research uses combination of resource-based theory and diffusion of innovation (DOI) theory to examine BI success and its relationship with firm’s sustainability. The research adopts the positivist paradigm and a two-phase sequential mixed method consisting of qualitative and quantitative approaches are employed. A tentative research model is developed first based on extensive literature review. The chapter presents a qualitative field study to fine tune the initial research model. Findings from the qualitative method are also used to develop measures and instruments for the next phase of quantitative method. The study includes a survey study with sample of business analysts and decision makers in telecommunications firms and is analyzed by partial least square-based structural equation modeling.

The findings reveal that some internal resources of the organizations such as BI governance and the perceptions of BI’s characteristics influence the successful deployment of BI. Organizations that practice good BI governance with strong moral and financial support from upper management have an opportunity to realize the dream of having successful BI initiatives in place. The scope of BI governance includes providing sufficient support and commitment in BI funding and implementation, laying out proper BI infrastructure and staffing and establishing a corporate-wide policy and procedures regarding BI. The perceptions about the characteristics of BI such as its relative advantage, complexity, compatibility, and observability are also significant in ensuring BI success. The most important results of this study indicated that with BI successfully deployed, executives would use the knowledge provided for their necessary actions in sustaining the organizations’ competitive advantage in terms of economics, social, and environmental issues.

This study contributes significantly to the existing literature that will assist future BI researchers especially in achieving sustainable competitive advantage. In particular, the model will help practitioners to consider the resources that they are likely to consider when deploying BI. Finally, the applications of this study can be extended through further adaptation in other industries and various geographic contexts.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

Two major trends – demographic shifts in the working-age population, and the proliferation of web technologies – are having a profound and generally unrecognized effect on the nature and characteristics of work, and on opportunities for the mature workforce. Key features of the workplace point to seven broad work trends. These trends have significant implications for organizations and for older workers. Six interdependent organizational changes are central to the far-reaching effects on enterprises and operating approaches. These changing work characteristics require certain essential behaviors for mature workers to be successful in the contemporary work environment. Such a dynamic workplace provides opportunity to introduce new thinking and propose new models. Realigning organizational and workforce interests calls for developing solutions beyond the individual level, reorienting enterprise capabilities, and reframing of the organization development practitioner role as work ecosystem advisor. High-leverage strategies and systemic interventions, such as multiconstituent initiatives and action research, can be used to influence constructively the multifaceted world of work.

The objective of this chapter is to identify the key characteristics of Global Services businesses that will thrive and achieve success in the future. These factors are integrated into three main pillars, which we refer to as the Triple-Win. The first and most obvious pillar is technology as a tool. The second pillar is the design and sustainability of the business model, without which the previous factor would be merely a cost and not an investment. And last but not the least, there is the purpose which gives meaning to the proposal, focusing on the human being and their environment. The DIDPAGA business model sits at the intersection of these three elements.

The purpose of this paper is to explore how companies approach the management of cyber and information risks in their supply chain, what initiatives they adopt to this aim, and to what extent along the supply chain. In fact, the increasing level of connectivity is transforming supply chains, and it creates new opportunities but also new risks in the cyber space. Hence, cyber supply chain risk management (CSCRM) is emerging as a new management construct. The ultimate aim is to help organizations in understanding and improving the CSCRM process and cyber resilience in their supply chains.

This research relied on a qualitative approach based on a comparative case study analysis involving five large multinational companies with headquarters, or branches, in the UK.

Results highlight the importance for CSCRM to shift the viewpoint from the traditional focus on companies’ internal information technology (IT) infrastructure, able to “firewall themselves” only, to the whole supply chain with a cross-functional approach; initiatives for CSCRM are mainly adopted to “respond” and “recover” without a well-rounded approach to supply chain resilience for a long-term capacity to adapt to changes according to an evolutionary approach. Initiatives are adopted at a firm/dyadic level, and a network perspective is missing.

This paper extends the current theory on cyber and information risks in supply chains, as a combination of supply chain risk management and resilience, and information risk management. It provides an analysis and classification of cyber and information risks, sources of risks and initiatives to managing them according to a supply chain perspective, along with an investigation of their adoption across the supply chain. It also studies how the concept of resilience has been deployed in the CSCRM process by companies. By laying the first empirical foundations of the subject, this study stimulates further research on the challenges and drivers of initiatives and coordination mechanisms for CSCRM at a supply chain network level.

Results invite companies to break the “silos” of their activities in CSCRM, embracing the whole supply chain network for better resilience. The adoption of IT security initiatives should be combined with organisational ones and extended beyond the dyad. Where applicable, initiatives should be bi-directional to involve supply chain partners, remove the typical isolation in the CSCRM process and leverage the value of information. Decisions on investments in CSCRM should involve also supply chain managers according to a holistic approach.

A supply chain perspective in the existing scientific contributions is missing in the management of cyber and information risk. This is one of the first empirical studies dealing with this interdisciplinary subject, focusing on risks that are now very high in the companies’ agenda, but still overlooked. It contributes to theory on information risk because it addresses cyber and information risks in massively connected supply chains through a holistic approach that includes technology, people and processes at an extended level that goes beyond the dyad.

Knowledge management systems and related initiatives have become a popular focus in many firms, yet many knowledge management systems initiatives fail to achieve their goals. Focuses on systems that are implemented to achieve deliberate performance improvement objectives in organizations, rather than to support discretionary communication. Employs constructs from system dynamics – a discipline that recognizes that the relationships between complex organizing technologies and human behavior are dynamic, evolving, and interconnected. Drawing from recent studies employing system dynamics, proposes a framework to analyze the implementation challenges posed by knowledge management systems adopted as part of a deliberate performance improvement program. Illustrates the framework with a case study of an initiative within a university “help desk” department where conflicting incentives hindered employees’ efforts to leverage the systems. The framework underscores the complex and interdependent effects triggered by managers’ actions and cognitions, in conjunction with users’ actions and cognitions. Offers insights for practitioners and researchers to recognize the downward spiral that can occur when conflicting incentives thwart the behavioral changes required for performance improvement initiatives to succeed.

This paper aims to investigate the pattern of technological capability building in the gas turbine industry as a complex product system (CoPS) in an Iranian gas turbine producer named Oil Turbo Compressor Company (OTC) and to recognize multi-level (firm, industry and national) drivers influencing technological catching up in this company.

This paper used a qualitative approach and case study research strategy. A preliminary theoretical framework is proposed based on research background. Also, the data were collected from various sources, including the interview with 11 experts, studying many documents and participating in some relevant meetings and conventions. To analyze the data, the authors relied on their preliminary theoretical framework and applied the chronological sequence analysis technique.

Our findings show that, first, in contrast with mass-produced industries where capability building pattern often leads to product innovation, technological capabilities in OTC have evolved from assembling to manufacturing, upgrading and finally redesigning of existing models of gas turbines. Second, two firm-level (proper technology acquisition strategies and building organizational and managerial capabilities), two industry-level (networking, integration and collaboration among key actors and existence of local market and demand) and two national-level (government’s policies, supports and initiatives and institutional arrangement and political conditions) drivers have played indispensable roles in facilitating and accelerating technological catching up by OTC.

Inevitably, the current research faces a few limitations. For instance, the difficulty of generalization is considered an inherent problem because it is a case study of only one Iranian latecomer company, as well as only one CoPS industry. Regarding implications, the findings suggest that technological catching up in CoPS industries in developing countries is not a simple and autonomous process and is influenced by multi-level factors, including national-, industry- and firm-level drivers.

In terms of theory, this paper tends to investigate and explain the catching-up process in OTC as an Iranian gas turbine producer by applying a multi-level theoretical framework that consists of firm-, industry- and national-level drivers. In terms of practice, this paper aims at investigating drivers affecting the catching-up process in a CoPS industry in a developing country that was faced with vast international sanctions, while many other studies in this area examined cases from developing countries such as Korea and China that had the opportunity of enjoying international collaborations and overseas knowledge flows.