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The purpose of the paper is to analyze how the Neo-documentalist movement, initiated in 1996 by Michael Buckland, Boyd Rayward and Niels Lund, has evolved in its 27 years history, how the choice of documentation as name of the new program in Tromsø has made a difference in the LIS field and how different documentation scholars around the world has participated and approached the movement until now.

The paper has approached the “Neo-documentalist movement” in a historical perspective from 1996 to 2023 discussing what difference does the choice of a concept make, when the concept of documentation is chosen instead of information in the name of a program and for the general discussion of the object of an academic field like Library and Information Science.

The analysis shows that it did make a difference to choose the concept of documentation as name of the program in Tromsø and the Neo-documentalist movement contributed to a new focus and discussion of the informative objects, the documents and their creation, not only in Tromsø, but in different parts of the world across linguistic borders.

The paper is original by the fact that it is the first time that the neo documentalist movement has been reviewed on a global scale across linguistic barriers. It has value by a discussion of the ways in which a choice of concept matter in relation to defining a field and the research agenda.

The paper aims to understand how state and non-state domestic terrorism impacts MNEs in foreign markets. Despite the burgeoning literature on terrorism within international business (IB), most research has focused on international terrorism, or terrorism generally. Consequently, there has been limited research examining how domestic or local based terrorism impacts foreign firms.

This is a conceptual paper.

Domestic terrorism is the most common form of terrorism in the world today and involves the state and non-state actors. Non-state domestic terrorism can be low intensity or high intensity. High intensity non-state-domestic terrorism typically involves regular and protracted political violence, along with inter-communal violence. This can expose MNEs to considerable operational, governance and legitimacy pressures.

The paper contributes to the gap in IB terrorism research with regards domestic or local based terrorism. Drawing on IB theory and critical terrorism research, the paper addresses the nature and impact of domestic terrorism within IB. The authors’ paper shows the operational, governance and legitimacy pressures of both state and non-state domestic terrorism for MNEs in host markets. While most IB scholars consider the threat of non-state terrorism for international firms, this study shows how domestic state terrorism benefits and constrains foreign firms.

The purpose of this paper is to assess the validity and utility of two theoretical approaches to understanding the relationship between strategic orientations, innovation and firm performance and to examine the role of innovation in the relationship while avoiding circular arguments. The universalistic approach suggests that strategic orientations have independent and parallel effects on firms’ performance, and that innovation does not influence this relationship. The holistic approach proposes that strategic orientations in a complementary and interrelated view have both direct and indirect effects on firms’ performance through innovation.

A meta-analytic path analysis applying two-stage structural equation modeling (TSSEM) was conducted on data from 132 primary studies and 33,063 observations.

The holistic approach was demonstrated to be superior due to its more explanatory power in linking more complex relationships through simultaneous direct and indirect effects and its capacity for including the interrelatedness and complementarity of strategic orientations. It was found that innovation has a full mediating role in the relationship between entrepreneurial orientation (EO) and firm performance, and a partial mediating role in the relationship between market orientation (MO) and learning orientation (LO) and firm performance.

The study used observed variables instead of latent variables for meta-analytic path analysis, which may reduce some sources of endogeneity. However, causal inference is not possible due to the nature of meta-analysis. The scope of the final sample was limited by some studies not reporting the estimates of correlations between constructs.

Managers can improve an organization's chances of success in the marketplace by adopting a holistic view of strategic orientations focusing on customer satisfaction, learning from the external environment and pursuing new market opportunities. Furthermore, an organization can gain a competitive advantage through innovation by creating products and services that are different from what is currently available in the market. To be successful, an organization must not only create innovative products and services but also market them effectively to consumers.

This study is the first to meta-analytically assess the explanatory value of two theorized models linking strategic orientations, innovation and firm performance. It also clarifies the role of innovation in the relationship between strategic orientations and firm performance.

Building on resource dependence theory and the dynamic institution-based view, this paper examines the influence of government affiliations on firm product innovation in a dynamic institutional environment.

Using unique panel data of Chinese manufacturing firms covering a period of 12 years (1998–2009) with 2,564,547 firm-year observations, this study chooses the panel Tobit model with random effects to explore the influence of government affiliations on firm product innovation, followed by an analysis to test the moderation effects of dynamic institutional environments.

The study findings suggest that Chinese firms with higher-level government affiliations have a relatively high product innovation performance. It finds that this innovation stimulating effect is contingent on the dynamic nature of the institutional environment. To be specific, a high speed of institutional transition may depress the positive innovation effects of government affiliations, while a more synchronized transition speed of institutional components may enhance the positive innovation effects of firms' government affiliations.

This study adds to a better understanding of the drivers of product innovation in Chinese firms that are situated in environments that are characterized by institutional change, using and contributing to resource dependence theory and the dynamic institution-based view.

Recent United Nations Climate Change Conferences recognise extreme climate change of heatwaves, floods and droughts as threatening risks to the resilience and success of public–private partnership (PPP) infrastructure projects. Such conferences together with available project reports and empirical studies recommend project managers and practitioners to adopt smart technologies and develop robust measures to tackle climate risk exposure. Comparatively, artificial intelligence (AI) risk management tools are better to mitigate climate risk, but it has been inadequately explored in the PPP sector. Thus, this study aims to explore the tools and roles of AI in climate risk management of PPP infrastructure projects.

Systematically, this study compiles and analyses 36 peer-reviewed journal articles sourced from Scopus, Web of Science, Google Scholar and PubMed.

The results demonstrate deep learning, building information modelling, robotic automations, remote sensors and fuzzy logic as major key AI-based risk models (tools) for PPP infrastructures. The roles of AI in climate risk management of PPPs include risk detection, analysis, controls and prediction.

For researchers, the findings provide relevant guide for further investigations into AI and climate risks within the PPP research domain.

This article highlights the AI tools in mitigating climate crisis in PPP infrastructure management.

This article provides strong arguments for the utilisation of AI in understanding and managing numerous challenges related to climate change in PPP infrastructure projects.

This study aims to estimate the impact of refugee inflows on host countries’ entrepreneurial rates. The refugee crisis led to an increased scientific and public policy interest in the impact of refugee inflows on host countries. One important perspective of such an impact, which is still underexplored, is the impact of refugee inflows on host countries entrepreneurial rates. Given the high number of refugees that flow to some countries, it would be valuable to assess the extent to which such countries are likely to reap the benefits from increasing refugee inflows in terms of (native and non-native) entrepreneurial talent enhancement.

Resorting to dynamic (two-step system generalized method of moments) panel data estimations, based on 186 countries over the period between 2000 and 2019, this study estimates the impact of refugee inflows on host countries’ entrepreneurial rates, measured by the total early-stage entrepreneurial activity (TEA) rate and the self-employment rate.

In general, higher refugee inflows are associated with lower host countries’ TEA rates. However, refugee inflows significantly foster self-employment rates of “medium-high” and “high” income host countries and host countries located in Africa. These results suggest that refugee inflows tend to enhance “necessity” related new ventures and/ or new ventures (from native and non-native population) operating in low value-added, low profit sectors.

This study constitutes a novel empirical contribution by providing a macroeconomic, quantitative assessment of the impact of refugee from distinct nationalities on a diverse set of host countries' entrepreneurship rates in the past two decades resorting to dynamic panel data models, which enable to address the heterogeneity of the countries and deal with the endogeneity of the variables of the model.

This paper explores the relationship between board interlocks and firm outcomes by reviewing the most recent peer-reviewed articles examining this research theme.

A systematic and bibliometric methodology of assessing 369 peer-reviewed articles from the Web of Science (WoS) database was applied. The study also leverages key R-packages litsearchr and Bibliometrix software to enhance the descriptive and thematic literature analysis to identify gaps and opportunities for new research.

This study confirms a rapid increase in articles on this thematic area, over the last decade, with increasing collaboration occurring among researchers in the United States, Europe, China, South Korea and India. Four core research clusters are identified. The first and largest cluster links interlocked directors to issues related to corporate governance and firm outcomes. The second cluster links social network theory, interlocking directorates and firm outcomes. Smaller emerging research clusters include topics related to ownership structure, board size, political connectedness and impacts on firm outcomes. The final cluster examines the influence of board interlocks on market value and firm innovation.

Interlocked directors can have both positive and negative impacts on a wide variety of firm outcomes. This study places great interest in the selection of new directors, ensuring that the selection has aligned with the needs and interests of the company and disclosures of potential competing interests are declared and considered. Equally important are the governance practices used to monitor directors' behavior and to protect the interest of shareholders and the firm. This is particularly relevant in the internal appointment of interlocked directors to critical positions, such as audit committees or instances where interlocked directors may simultaneously hold CEO or executive leadership positions in other companies.

This paper examines the board interlocks literature related to firm outcomes. Additionally, this review identifies several topics and disciplines which, if pursued, could enrich the literature and promise new avenues for future research.

This study demonstrates how becoming a high-reliability institution in health care is a priority, given the high-risk environment in which an error can result in harm. Literature conceptually supports the need for highly reliable health care facilities but does not show a comprehensive approach to operationalizing the concept into the daily workforce to support patients. The Veterans Health Administration closes the gap by documenting a case study that not only demonstrates specific actions and functions that create a high-reliability organization (HRO) for safety and improvement but also created a learning organization by spreading the knowledge to other facilities.

The authors instituted a methodology consisting of assessments, training and educational simulations to measure, establish and operationalize activities that identified and prevented harmful events. Visual communication boards were created to facilitate team huddles and discuss improvement ideas. Improvements were then measured and analyzed for purposeful outcomes and return on investment (ROI).

HRO can be operationalized successfully in health care systems. Measurable outcomes verified that psychological safety was achieved through the identification and participation of 3,184 process improvement projects over a five-year period, which yielded a US$2.8m ROI. Documented processes and activities were used for educational teachings, which were disseminated to other Veteran Affairs Medical Center’s through the Truman HRO Academy.

This case study is limited to one hospital in the Veterans Health Administration (VHA) network. As the VHA continues to deploy the methods outlined to other hospitals, the authors will perform incremental data collection and ongoing analysis for further validation of the HRO methods and operations. Hospitalists can adapt the methods in the case study for practical application in a health care setting outside of VHA. Although the model is rooted in health care, the methods may be adapted for use in other industries.

This case study overcomes the limitations within literature regarding operationalizing HRO by providing actual activities and demonstrations that can be implemented by other health care facilities.

This paper aims to integrate insights from the behavioral theory of the firm and the dynamic capabilities perspective to explain how the historical and social attainment discrepancies motivate firms to change. Specifically, this paper proposes that a negative historical attainment discrepancy encourages the firm to engage in strategic change to solve its performance problems. In contrast, this paper advanced that a positive social attainment discrepancy motivates strategic change as a mechanism to bolster the firm’s position within the industry. Further, this paper integrated the moderating effects of industry dynamism and industry munificence.

This paper tests hypotheses using panel data on 2,435 US public firms over the years from 1996 to 2018. This paper uses a fixed-effects regression model to empirically test these hypotheses.

This paper finds empirical support for the effects of both the negative historical attainment discrepancy and the positive social attainment discrepancy on the firm’s tendency to engage in strategic change. As for the hypothesized moderating effects, this paper finds that industry munificence accentuated the effects of both attainment discrepancies on the firm’s tendency to engage in strategic change. However, the results do not support the hypothesized moderating effect of industry dynamism on either of these attainment discrepancies.

This paper contributes to the research on the separate effects of historical and social comparisons within the context of strategic change. Further, the paper bolsters our understanding of how performance feedback increases the firm’s tendency to change. Finally, the paper integrates theoretical views from the behavioral theory of the firm and the dynamic capabilities perspective on how socially high-performing firms may build and sustain their competitive advantage through organizational change.

In this paper we examine the validity of the J-curve hypothesis in four Southeast Asian economies (Indonesia, Malaysia, the Philippines and Thailand) over the 1980–2017 period.

We employ the linear autoregressive distributed lags (ARDL) model that captures the dynamic relationships between the variables and additionally use the nonlinear ARDL model that considers the asymmetric effects of the real exchange rate changes.

The estimated models were diagnostically sound, and the variables were found to be cointegrated. However, with the exception of Malaysia, the short- and long-run relationships did not attest to the presence of the J-curve effect. The trade flows were affected asymmetrically in Malaysia and the Philippines, suggesting the appropriateness of nonlinear ARDL in these countries.

The previous research tended to examine the effects of the real exchange rate changes on the agricultural trade balance and specifically the J-curve effect (deterioration of the trade balance followed by its improvement) in the developed economies and rarely in the developing ones. In this paper, we address this omission.