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This paper aims to examine how market globalization orientation (i.e. a firm’s strategic commitment to developing the target markets beyond national borders) influences business-to-business (B2B) practices to achieve competitive performance outcomes.

A conceptual framework shows how to translate strategic orientation into integrated organizational practices for competitive outcomes. A research model defines key variables (drivers, B2B practices and performance outcomes). The research model is tested using an international survey of 439 firms from four continents. And the analysis results are reported.

The results suggest that market globalization orientation influences organizational practices and external B2B network processes to achieve desirable performance outcomes. Integrated product development is a crucial linkage mechanism that enables firms to translate strategic network coordination and product innovation goals into improved manufacturing and firm performance.

First, macro-level factors (e.g. the changing attitudes of domestic stakeholders toward globalization) do not necessarily dictate the critical aspects of the micro-level responses (e.g. firm-level practices). Despite negative narratives of globalization at the macro-level (e.g. economic inequality, unwanted immigration that spreads transmissible diseases, supply chain disruptions), firm-level responses toward global markets are determined by their missional direction and strategic priorities for achieving competitive advantage by expanding their B2B supply chains and market frontiers (Adams et al., 2019; Kobrin, 2020; Witt, 2019; Zinn and Goldsby, 2020). Second, the findings suggest that many firms take globalization orientation as an essential strategic driver that governs critical operational and network practices for achieving desirable performance outcomes. Market globalization orientation motivates B2B firms of all sizes –including small and medium-sized enterprises (SMEs) – to pursue globalization in their unique paths of differentiation. Globalization orientation expands their spheres of influence beyond their local, regional and domestic fronts. The globalization orientation of business leadership motivates firms to stretch their business frontiers without self-imposed geographical constraints.

Competitive firms choose market globalization orientation in their supply flow and implement strategic and operational practices to pursue global market opportunities. Globalization orientation is imperative to firms that seek new growth engines to achieve competitive performance that appeals to diverse market segments of the world.

Outstanding firms expand their value frontiers to secure a flexible supplier base and reach out to diverse B2B customers in their domestic and global market segments. This study also suggests that firms with a market globalization orientation aim to develop novelty products, offer essential services, support the livelihood goals of people and pursue a shared vision of a sustainable planet.

In the context of conflicting societal attitudes and political priorities toward globalization, this study examines the crucial role of market globalization orientation. Using an empirical study, this paper suggests that globalization efforts succeed as firms deploy their internal and network resources to address people’s essential and timeless needs beyond national boundaries.

This paper examines the role of a sustainability business model in clarifying a firm's sustainability value articulation (SVA) to achieve sustainability outcomes and examining the moderating role of supplier involvement practices SIP and technology systems integration (TSI) in attaining sustainability outcomes.

Drawing upon the foundational principles of business model innovation, specifically articulation and implementation, the authors formulated a theoretical construct and empirically validate it through analysis of data collected from 692 manufacturing firms dispersed across 23 countries.

The research shows that focusing on SVA significantly improves how a company implements sustainability efforts internally (ISI) and externally (ESI), leading to better social and environmental outcomes. It also highlights that SIP improve the relationship between SVA, ESI and ISI. Similarly, TSI boosts the effect of internal and external sustainability efforts on both social (SOP) and environmental performance (EnP).

While acknowledging the inherent constraints of survey-based research methodologies, this study offers a theoretical and verified approach for manufacturers to achieve comprehensive sustainability. It emphasizes the need for clear, actionable sustainability goals that can be met through both internal operations and external partnerships.

This study clarifies how manufacturers can implement sustainable business models, emphasizing the importance of clear sustainability goals and initiatives both within and outside the company. It highlights the dual aspects of supplier engagement through operational tactics (ESI) and strategic collaborations (SIP).

This study reveals a thrilling truth: when companies champion clear sustainability goals, they unlock powerful strategies that revolutionize practices within their walls and in their external dealings. It is not just about going green; it is about weaving financial prosperity, social responsibility and environmental stewardship into the very fabric of their business models. But there is more – by cleverly engaging suppliers and harnessing cutting-edge technology, companies are not just participants in the green revolution; they are leading it, crafting a world where business thrives alongside the planet and its people.

This research stands out for its empirical analysis of how manufacturing firms implement sustainability innovations at the plant level, an area previously underexplored despite extensive theoretical work on sustainability-centric business models.

This study aims to examine the role of safety governance in ensuring public–private interface ecosystems in response to the COVID-19 pandemic. It aims to highlight the role of safety governance in the complex interfaces of pandemic response mechanisms. The analysis is conducted at the national level, considering safety governance issues in terms of test, confirmed cases, fatality rates, vaccination rate, medical capabilities, Information and communications technology capability, Hofstede’s cultural index (individualism and power distance scores), public safety, personal privacy and national health capabilities.

Using multigovernance theory and technology, organization and environment theory, the authors present a research model that defines four independent factors and country level performance outcomes and conducted analysis of variance tests.

Research findings suggest that countries are classified by diverse groups using multiple criteria (e.g. country size, Hofstede’s cultural indexes, ICT capabilities and Governance index). Countries indicate differences in their policy approaches according to their private and public ecosystems. COVID-19 response performance indicators are substantially different.

This study provides the relevance of the multigovernance theory. The empirical results suggest that effective crisis governance is characterized by vertically integrated organizational hierarchies with horizontally connected communication channels that seek maximum voluntary participation and a high level of motivation of informed societal members as a whole. Crisis events occur occasionally, and livelihood routines demonstrate incredible human agility. Gaining insight of the findings from this article may be useful to respond to future crisis events.

This significant study highlights the political and social factors that define response patterns of different countries regarding COVID-19 response mechanisms. With the wide vaccination administration, the COVID-19 landscape shows differences in these countries. This study is rare in providing research framework using Hofstede cultural value and examines with actual data provided by each national government, World Health Organization and credible information sources.

This paper aims to discuss characteristics of Korea’s system responses with a research framework of the structure, conduct and performance theory and explain the role of information, communication technologies (ICT) and Big Data from a technology-mediated control (TMC) perspective.

This study examines the contextual nature of Korea’s diagnostic, preventive and treatment efforts. Particular attention is paid to issues related to the effective use of Big Data analytics and its applications, reporting mechanisms and public safety measures. The research model defines key factors in assessing the effectiveness of Korea’s responses.

Findings of this research suggest: effective strategic planning and operational execution use well-tested and designed crisis-responsive manuals; linkage role of ICT/Big Data is prominent in trace, test and treat and participation (3T + P); and aggressive epidemic investigations require synergistic efforts of national and local government units, broad societal support and participation and contribution of global firms offering their domestic and global supply chain network capabilities.

The Korean Government's effective response experiences suggest the synergy of political, social, cultural and technological factors. Future studies may explore how personal privacy and public safety are both achieved in different social–cultural–political contexts (Ahn et al., 2020; Delgado et al., 2020; Sharma and Bashir, 2020). Other emerging organizational issues and international comparative studies are worth further investigation in future studies.

This case study suggests how to apply ICT capabilities for organizing a national response to the coronavirus pandemic (COVID-19) pandemic. Public and private partnership in the framework of sociotechnological synergy (i.e. integration of ICT and social orchestration) is essential for the 3T process. In support of public policy initiatives, global firms share their IT infrastructure and supply chain integration experiences to accommodate global-level crises like the COVID-19 pandemic.

This study extends the TMC framework to a national level. In the adapted TMC framework, the control source, control target and linkage mechanism are specified. Using TMC, this shows the dynamic roles of ICT/Big Data in Korea’s COVID-19 response experiences.

The impacts of the COVID-19 are rapid and enormous. Despite the controversial early policy decisions and the rapid rise of confirmed patients, the world has recognized Korea’s effective responses to the COVID-19 pandemic.

This paper aims to examine the role of technology-enabled leadership (TEL) in achieving performance-enhancement outcomes. This empirical investigation is from a dynamic capabilities perspective.

A conceptual framework presents a general model with an overarching dynamic capabilities theory. The research model defines key variables – macroeconomic turbulence (MET), TEL, analytics-based responsiveness (ABR), knowledge-driven innovation (KDI) and performance enhancement outcomes (PEOs). Empirical tests of eight hypotheses are conducted using an original survey instrument based on the respondents (n = 203).

In response to MET, TEL is crucial in implementing ABR in strategic planning aspects and KDI in operational dimensions. In turn, ABR and KDI are key mediating variables that achieve a desirable level of PEOs.

Despite the limitations associated with survey-based research, the findings suggest robust analytical results. For example, the alternative model suggests that MET negatively moderates the positive impact of TEL on ABR, while KDI positively moderates the positive impact of ABR on PEOs.

Outstanding firms demonstrate both TEL and data-savvy decision-making processes. Knowledge-intensive innovation allows firms to achieve multiple performance outcomes that help firms survive and thrive in challenging market environments.

There has been a growing concern about how firms use customers’ data in choosing their business practices. Customers are concerned about privacy and data security issues if firms misuse the data while pursuing profit-based goals. However, this empirical investigation confirms that business analytics improve firm performance (e.g. firm productivity enhancements), ultimately benefiting the customers. Providing relevant data to firms has potentially positively enhanced customer services and thus benefits societal well-being.

Using an original survey instrument, this research empirically tests a research model that defines the complex paths between TEL and competitive performance outcomes.

For decades, the fast population growth worldwide was interrelated with the adopted rapid lifestyle behavior that relies on the extensive use of fossil fuels. This primary energy source has caused various urban and environmental impacts, such as global warming, air pollution, and so forth. Consequently, the identified circumstance issues have caused many health, social, and economic hindering effects for global citizens. It poses an existential threat to humanity and the global earth's ecosystem. The alarming levels of urban pollution emissions are putting enormous challenges to the related stakeholders (governments, businesses, investors, automakers, and citizens) to admit the need to decarbonize the global economy and reach sustainable development goals (SDGs) for cleaner and smarter cities across borders. As such, a vital part of a smart city is the transport sector. The road transport sector, precisely, is one of the primary consumers of fossil fuels that contribute to high carbon dioxide emissions. Accordingly, it is essential to adopt novel and sustainable urban transport solutions and promote the achievement of the SDG's eleventh goal for sustainable cities and communities. This chapter provides insight into the present global energy situation with particular attention to the road transport sector. Indeed, it highlights different emerging technologies for a sustainable and smart urban mobility future that will mitigate the environmental situation thanks to the development of drive and internet telecommunication technologies. Furthermore, we aim in this chapter to study the international progress of the transition project using the Political, Economic, Social, Technological, Environmental, and Legal (PESTEL) analysis methodology. This study is to pinpoint opportunities for project development and the challenges that set back its evolution.

The current booming development of smart cities poses new requirements and challenges for their internal infrastructure development. This article aims to explore the questions of: What is the level of social sustainability of smart city infrastructure today? and What are the core contents and paths to improve this level?

With the theme of public participation in the social sustainability evaluation of smart city infrastructure in the context of big data, this study mainly makes a systematic literature review of the Web of Science's Science Citation Index Expanded and Social Sciences Citation Index databases. After collection and screening, 199 documents were finally obtained.

It is found that the level of social sustainability of smart city infrastructure is still low, and public participation can provide solutions to the difficulties and challenges involved in its development, while big data technology can broaden the channels for public participation and promote the development of smart city-related components in the process, including smart city infrastructure.

This article summarizes the internal mechanisms of smart cities at the theoretical level and analyzes the social sustainable development of smart city infrastructure. In practice, the shortcomings in this field are identified and suggestions are provided on how to carry out digital public participation, which has practical reference value.

The objective of this research work is to design a data-based solution for administering traffic organization in a smart city by using the machine learning algorithm.

A machine learning framework for managing traffic infrastructure and air pollution in urban centers relies on a predictive analytics model. The model makes use of transportation data to predict traffic patterns based on the information gathered from numerous sources within the city. It can be promoted for strategic planning determination. The data features volume and calendar variables, including hours of the day, week and month. These variables are leveraged to identify time series-based seasonal patterns in the data. To achieve accurate traffic volume forecasting, the long short-term memory (LSTM) method is recommended.

The study has produced a model that is appropriate for the transportation sector in the city and other innovative urban applications. The findings indicate that the implementation of smart transportation systems enhances transportation and has a positive impact on air quality. The study's results are explored and connected to practical applications in the areas of air pollution control and smart transportation.

The present paper has created the machine learning framework for the transportation sector of smart cities that achieves a reasonable level of accuracy. Additionally, the paper examines the effects of smart transportation on both the environment and supply chain.

This study aims to assess the knowledge and attitudes toward recovering citizenship (RC)/5 Rs and mental illness of people aged ≥18 years in Hong Kong using a telephone survey approach.

A questionnaire comprised the Mental Health Knowledge Schedule (MAKS), Short Form-Community Attitudes Toward Mental Illness (SF-CAMI) and questions on attitudes toward RC/5 Rs, was administered on the phone.

A total of 1,009 respondents completed the telephone survey. A high mean score of MAKS (4.37 ± 1.08) was found with 68%–94% answering the knowledge items correctly. The mean score of SF-CAMI was 46.50 ± 8.74 with the most positive attitude toward fear and exclusion. Approximately half had heard about a similar concept of RC and 79%–94.3% agreed with people in recovery to possess the 5 Rs. Those with greater knowledge or more positive toward mental illness, or knowing someone in recovery were more supportive toward 5 Rs. Those aged 18–44 years, attained a post-secondary education, were employed, and received a monthly income of US$3,861–6,434 were significantly more positive toward 5 Rs.

To the best of the authors’ knowledge, this is the first study assessing the views of RC of people in the community. The sample had a good knowledge of mental illness but recognition of recovery from mental illness and a sympathetic view toward people in recovery can be further improved. Besides promotion programs, dissemination of the concept of RC and having people in recovery take up valued roles in the community could potentially facilitate the acceptance of social inclusion and acceptance in the community.