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Purpose – This paper is intended to test for the model of commodities export performance (EP) in Aceh Province, Indonesia.

Design/Methodology/Approach – This research will focus on approach model of firms competency variable, customer relation, foreign environmental factor, and moderating variable of export competitive strategy which aims to improve firm performance in the export context.

Findings – The research framework models will give a new perspective to export activities conducted by exporting commodities in an emergent nation such as Indonesia and more specifically in Aceh.

Originality/Value – The improvement of EP.

Due to the global labor market challenges, international companies react and adjust fast to these circumstances by implementing digital solutions into all business processes. Organizational ambidexterity is seen as the response of digital transformation and it can be divided into structural, contextual, and sequential dimensions. In this context, organizations representing the smart industry will need employees with specific competencies which let them meet technological challenges.

This chapter aims to clarify the state of opinion on expectations towards, and preparedness for, the impact of Industry 4.0 on human resources management and the implementation of various types of ambidexterity in these companies. We have conducted interviews with key HR informants from manufacturing companies operating in Germany and Poland. We have found that Industry 4.0 has a significant impact on HR practices. In both international companies, various digital solutions in employee recruitment, development, and performance, have been implemented. There have also been mature examples in both companies of structural, contextual, and sequential ambidexterity.

The COVID-19 pandemic has disrupted the ‘real’ world and substantially impacted the virtual world and thus the Internet ecosystem. It has caused a significant exogenous shock that offers a wealth of natural experiments and produced new data about broadband, clouds, and the Internet in times of crisis. In this chapter, we characterise and evaluate the evolving impact of the global COVID-19 crisis on traffic patterns and loads and the impact of those on Internet performance from multiple perspectives. While we place a particular focus on deriving insights into how we can better respond to crises and better plan for the post-COVID-19 ‘new normal’, we analyse the impact on and the responses by different actors of the Internet ecosystem across different jurisdictions. With a focus on the USA and Europe, we examine the responses of both public and private actors, with the latter including content and cloud providers, content delivery networks, and Internet service providers (ISPs). This chapter makes two contributions: first, we derive lessons learned for a future post-COVID-19 world to inform non-networking spheres and policy-making; second, the insights gained assist the networking community in better planning for the future.

The chapter summarizes key literature, including emerging ideas, that is pertinent to the question of how organizations and their leadership deal with and are resilient through crises – highlighting what works in surviving unexpected crises. The chapter presents an illustration of organizational response; it concludes with an analysis of what is missing from the literature and recommends a path forward to expanding actionable knowledge in this area. Multiple, interdependent factors that foster resilience are identified including (1) being sensitive to possible threats – even seemingly small failures, (2) not relying on simple interpretations of events but rather seeking diversity to create a complete view of the environment, (3) leadership that embraces communication, transparency, and continuous learning, (4) valuing expertise and allowing expert staff to make decisions during a crisis, and (5) a cultural commitment to a resiliency mindset that accepts failures as opportunities to learn and improve. Emerging concepts that may foster resilience but require more research include managing paradox, emotional ambivalence and diversity. Additional areas for fruitful research include: the impact of short-term versus long-term, or successive, crises; external versus internal shocks and the framing of the source of shocks; how crisis affect the pace of innovation and change; the role of diversity in organizational responses to crises; and a set of methodological opportunities to leverage natural experiments or simulations in ways that allow for longitudinal data illuminating the full cycle of crises across organizations from anticipation, to response, to longer-term adaptation to the new normal.

This chapter presents a narrative description of the evolution in the building capabilities in the process of professionalisation of the research manager and administrative roles in higher education institutions (HEIs) in Colombia. The descriptive approach takes into account the consolidation of the Colombian Science, Technology and Innovation policy to explain the ways that research managers have been setting up their activities to adapt and respond to the challenges that research management has imposed on them. The chapter also includes analysis of results derived from the Research Administration as Profession (RAAAP-3) survey in 2022 for Colombian participants to describe as the roles of research managers and administrators that have grown up in the country, and it considers the future and perspectives to look forward in the professionalisation process in HEIs.

Advances in Big Data, artificial Intelligence and data-driven innovation bring enormous benefits for the overall society and for different sectors. By contrast, their misuse can lead to data workflows bypassing the intent of privacy and data protection law, as well as of ethical mandates. It may be referred to as the ‘creep factor’ of Big Data, and needs to be tackled right away, especially considering that we are moving towards the ‘datafication’ of society, where devices to capture, collect, store and process data are becoming ever-cheaper and faster, whilst the computational power is continuously increasing. If using Big Data in truly anonymisable ways, within an ethically sound and societally focussed framework, is capable of acting as an enabler of sustainable development, using Big Data outside such a framework poses a number of threats, potential hurdles and multiple ethical challenges. Some examples are the impact on privacy caused by new surveillance tools and data gathering techniques, including also group privacy, high-tech profiling, automated decision making and discriminatory practices. In our society, everything can be given a score and critical life changing opportunities are increasingly determined by such scoring systems, often obtained through secret predictive algorithms applied to data to determine who has value. It is therefore essential to guarantee the fairness and accurateness of such scoring systems and that the decisions relying upon them are realised in a legal and ethical manner, avoiding the risk of stigmatisation capable of affecting individuals’ opportunities. Likewise, it is necessary to prevent the so-called ‘social cooling’. This represents the long-term negative side effects of the data-driven innovation, in particular of such scoring systems and of the reputation economy. It is reflected in terms, for instance, of self-censorship, risk-aversion and lack of exercise of free speech generated by increasingly intrusive Big Data practices lacking an ethical foundation. Another key ethics dimension pertains to human-data interaction in Internet of Things (IoT) environments, which is increasing the volume of data collected, the speed of the process and the variety of data sources. It is urgent to further investigate aspects like the ‘ownership’ of data and other hurdles, especially considering that the regulatory landscape is developing at a much slower pace than IoT and the evolution of Big Data technologies. These are only some examples of the issues and consequences that Big Data raise, which require adequate measures in response to the ‘data trust deficit’, moving not towards the prohibition of the collection of data but rather towards the identification and prohibition of their misuse and unfair behaviours and treatments, once government and companies have such data. At the same time, the debate should further investigate ‘data altruism’, deepening how the increasing amounts of data in our society can be concretely used for public good and the best implementation modalities.

We currently know little about how transferring can be accomplished when source- and target environments only have little in common. This chapter utilizes the case of EuroCo and AsiaCo to account for how a transfer of interrelated routines across multiple boundaries unfolds. A pragmatic and flexible approach to transferring, where coordinating actors attended to replication and adaptation as means rather than ends, is illuminated. Notably, coordinators split their work into smaller chunks by focusing on artifacts, people, and actions. As pressures to progress the transfer increased, they conceived of new ideas for performances and put the ideas to use along three trajectories focused on embedding, embodying, and enacting routines. Eventually, they blended performances from each trajectory back together into a new overarching notion of what was to be transferred. In elaborating on and discussing these findings, the chapter contributes to literature on routine transfer. Boundary conditions and avenues for future research are discussed.

The creation of a Unified National System of Higher Education in Australia (https://en.wikipedia.org/wiki/Dawkins_Revolution) in the late 1980s resulted in many new universities and significantly increased research funding for the sector. The result was the emergence of the modern Research Management Office (RMO) and eventually the establishment of the Australian Research Management Society (ARMS) to support the development of research management professionals in the region; including Singapore, New Zealand, Pacific Islands, and Papua New Guinea. In 2013, ARMS launched an accreditation program to recognise and develop careers in research management. There are now more than 3,500 ARMS members with nearly 30% only having been in the profession for less than 5 years. The role of ARMS in helping Research Managers and Administrators (RMAs) redefine their roles and upskill is ever important in growing the profession and its leaders.

This paper aims to explore smart facilities services in the context of university campus by aiming to understand how the service development processes can be classified.

The qualitative study is based on literature review about smart facilities services and a case study about developing visualisation, data and smart service in one building in Finnish campus. The case study data were gathered by diverse methods and analysed by content analysis.

Three smart facilities service processes were identified: experience processes for users, data-based service processes and technology processes. All the processes require more than only technocratic approach.

Single case study without longitudinal data gathering is not strong in terms of generalisation.

The process classification can help different stakeholders to identify their role and tasks in smart facilities service development.

The research aims to understand how to develop smart services in addition to more investigated topic what the services include.

This chapter concludes the book on cross-innovation between audiovisual media industries and three other sectors – education, health care and tourism. It emphasises, first, the importance of platformisation as a socio-economic and technological process in framing all cross-innovation processes. It highlights how the rather full platformisation of tourism has negatively affected the interest of the tourism industry small and medium-sized enterprises to cooperate with local media and gaming industries in search of new solutions. Relatedly it proposes a generic conflict between platformisation of specific fields and the health of thematic local cross-innovation systems involving media and creative sectors. It then discusses that the inherent fragmentation of the health and education sectors has not allowed their international platformisation, but constitutes challenges to innovators interested in international scalability. It also discusses the reasons why two publicly coordinated cross-innovation processes – one involving the use of virtual reality in health care and another using augmented reality – have given different results – one a relative success and the other not as of yet. At the end of the chapter final definitions of cross-innovation are offered and the operationalisation of the term and the associated conceptual approach are assessed.