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The ancient town of Lijiang is a representative place of ethnic minorities in China’s southwest border area jointly built by many ethnic groups. Its rich and diversified history, culture and architecture as well as its artistic and spiritual values need to be better retained and explored.

The protection and inheritance of Lijiang’s cultural heritage will be improved through the construction of digital memory resources. To guide Lijiang’s digital memory construction, this study explores strategies of digital memory construction by analyzing four case studies of well-known memory projects from China and America.

From the case studies analysis, factors of digital memory construction were identified and compared. Factors led to the discussion of strategies for constructing the digital memory of Lijiang within its design, construction and service phases.

The ancient town of Lijiang is a famous historical and cultural city in China, and it is also a representative place of ethnic minorities in the border area jointly built by many ethnic groups. The rich culture should be preserved and digitalized to offer better use for the whole nation.

The very criticism of public policy being rigid and generalized on one hand, and insouciant and noncustomizable on the other has to be addressed to cope up with the comingled economic, social and environmental challenges. Policies that fail the litmus test of changing and challenging conditions will run the risk of not achieving their purpose and obstructing the ability of citizens, communities and businesses. This paper draws the case of Bangladesh to explore the principles of adaptive policies in the surfacing of the recently adopted Digital Commerce Management Guide 2021 under the National Digital Commerce Policy, 2020.

This is a qualitative paper that is based on both primary and secondary data. While secondary data on the policy crafted a strong call for increased adaptiveness, primary data extracted from the interviews presented several lacking and loopholes from respondents’ firsthand experiences. Based on secondary content and primary data from consumers and business owners of the most-used social commerce platform (a form of digital commerce), Facebook commerce, hereto referred to as F-commerce, this paper discusses the possible characteristics of adaptive policy-making for more innovative, contextual, gender-inclusive, efficient and environmentally sustainable policies.

The paper points out some reform and adjustment scope for the recently introduced digital commerce policy to make it more adaptive to the present and upcoming policy context.

It must be mentioned that there is a dearth of research on digital commerce policy and the platform as a whole.

Hence, this paper offers a fresh perspective toward time befitting policy formulation in the digital commerce sector and set in motion the policy attention that this platform requires.

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.

Information Systems (IS) research has built up a considerable understanding of digital platform ecosystems, while policymakers worldwide are aiming to introduce platform regulations that seek to erode fundamental mechanisms of digital platforms. This viewpoint article provides an introduction to how platform regulation affects our current understanding of digital platform ecosystems and suggests opportunities for future research.

A detailed analysis of the effects of the European Union (EU) Digital Markets Act (DMA) on current findings of organizational, technical and economic IS platform research.

Government regulations of digital platforms such as the DMA likely affect the central mode of operation of platforms in the scope of the regulation. The authors preconceive a major impact on platform openness, governance, steering the platform supply-side, modularity, nestedness, network effects, pricing and single-/multi-homing. In addition, the authors present opportunities for future research in each of these IS platform research streams.

Landmark regulations implemented in the past, such as the General Data Protection Regulation (GDPR), caused paradigm changes that fertilized research opportunities in IS and beyond. This viewpoint article aims to nudge studies that examine the changed mode of operation of platforms following platform regulation.

Since the European Union’s (EU) Charter of Fundamental Rights became binding in 2009, data protection has attained the status of a fundamental right (Article 8) throughout the EU. This chapter discusses the relevance of data protection in the context of security. It shows that data protection has been of particular relevance in the German context – not only against the backdrop of rapidly evolving information technology, but also of the historical experiences with political regimes collecting information in order to oppress citizens.

Social media has been gaining importance in recent years as an integral part of entrepreneurs’ business and marketing strategies. At the same time, the entrepreneurial use of social media can lead to dark and negative consequences. This aspect has received less attention in the literature so far. The purpose of this study is to advice entrepreneurial practitioners to balance the sides of pros and cons as being an inherent reality to acknowledge the full scenario of business life and the interplay of diverse influences.

The qualitative interviews focused on the dark side experiences of micro-entrepreneurs on social media and on strategies to protect their private identities and businesses from those dark side effects. For the theoretical classification of dark side experiences, the framework of Baccarella et al. (2018) was used and adapted based on the experiences reported.

To the best of the authors’ knowledge, the study is one of the first to provide an understanding of the negative experiences micro-entrepreneurs face on social media. The research showed the relevance of five out of the seven dark-side building blocks and identified time as a further influential aspect. Thereby, the authors learn to comprehend the negative sides of social media for micro-operated businesses. The findings highlight the need to understand entrepreneurial social media use with simultaneously negative hazards and economic and social challenges. Addressing the entanglement of the entrepreneurial and private selves of micro-entrepreneurs, the findings demonstrate entrepreneur’s attempts of distancing or cleaning the negativity from their private identities and their businesses.

This paper problematizes dark sides as critical elements in entrepreneurial practice, which are too often neglected when discussing entrepreneurial marketing in general and entrepreneurship in social media specifically. The self is always captured between two sides, including the problematic (“dark”) and the bright.

Human-related risks are practices in a given organization that lead to harmful behaviors that prevent managers and their teams from achieving goals. The purpose of this article is to enable the organization to provide a preventive and simple response to risks in the event that deterioration in employee well-being is detected.

In the literature, many questionnaires based on a variety of metrics have been developed and tested to measure and assess the quality of work life (e.g. stress, commitment, satisfaction, etc.). The approach of this study was to identify the most meaningful items and combine them into a unique score integrated into an effective decision-making module.

A long process of trial and error was necessary to collect confidential information from employees, both anonymously and longitudinally, to measure well-being in the workplace objectively and globally. The unique score generated provides an indication of potential human risk.

This research and its practical implementation have demonstrated the importance of personal-data protection and the need to work harder to maintain employees' digital trust while using a digitized tool.

Development of a new app that was used for the first time to regularly assess ill-being in several companies.

The social implication of this research is to contribute to health policies related to well-being in the workplace.

To the authors’ knowledge, this is the first time that a software module measuring the human risk of an entire company has been embedded in Enterprise Risk Management (ERM).

Regulatory initiatives and related technological shifts have been imposing restrictions on data-driven marketing (DDM) practices. This paper aims to find the main restrictions for DDM and the key management theories applied to investigate the consequences of these restrictions.

The authors conducted a unified bibliometric analysis with 104 publications retrieved from both Scopus and Web of Science, followed by a qualitative, in-depth systematic literature review to identify the management theories in literature and inform a research agenda.

The fragmentation of the research outcomes was overcome by the identification of 3 main clusters and 11 management theories that structured 18 questions for future research.

To the best of the authors’ knowledge, this paper sets for the first time a frontier between almost three decades where DDM evolved with no significative restrictions, grounded on innovations and market autoregulation, and an era where data privacy, anti-trust and competition and data sovereignty regulations converge to impose structural changes, requiring scholars and practitioners to rethink the roles of data at the strategic level of the firm.

The study aims to take a step back and take the big picture of how digital capitalism is changing people's ways of living and production. On that basis, China should enhance its digital governance rationally and develop the digital economy efficiently, thereby bringing its socialist economy to new heights.

The rise of digital capitalism in the 1990s has profoundly changed the ways of consumption, employment, production organization and investment in the realm of capitalism.

Digital Capitalism has not changed the nature of capitalism, that is, exploitation and capital accumulation, which continue only in a more profound, extensive and covert way.

For the economy of socialist China to grow in the new era, China should tap into digital economy platforms, take a people-centered approach and let the people jointly develop the digital economy, share the fruits of development and participate in the governance of the digital economy. The government should leverage its modern digital governance and a high-quality digital economy to meet people's ever-growing demand for a better life.