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This study aims to determine the effects of lodging infrastructure development (LID) on Cordillera Administrative Region’s (CAR) environmental quality and natural resource management and its implication to globally responsible leadership. Specifically, this study sought to determine the contribution of LID to environmental deterioration and natural resource degradation in the CAR. As a result, a mathematical model is developed, which supports sustainability practices to maintain the environmental quality and natural resource management in CAR, Philippines.

This study used a descriptive research design using a mixed-methods approach. Self-structured interview and survey were used to gather the data. The population of this study involved three groups. There were 6.28% (34) experts in the field for the qualitative data, 70.24% (380) respondents for the quantitative data and 23.47% (127) from the lodging establishments. 120 respondents from the Department of Tourism – CAR (DOT-CAR) accredited hotels. Nonparametric and nonlinear regression analysis was used to process the data.

The effects of LID on the environmental quality and natural resource management in CAR as measured through carbon emission from liquefied petroleum gas (LPG), electricity and water consumption in the occupied guest rooms revealed a direct correlation between the LID. Findings conclude that the increase in tourist arrival is a trigger factor in the increase in LID in the CAR. The increase in LID implies a rise in carbon emission in the lodging infrastructure. Any increase in tourist arrivals increases lodging room occupancy; the increased lodging room occupancy contributes to carbon emissions. Thus, tourism trends contribute to the deterioration of the environmental quality and degradation of the natural resources in the CAR. A log-log model shows the percentage change in the average growth of tourist arrival and the percentage increase in carbon emissions. Establishments should observe standard room capacity to maintain the carbon emission of occupied lodging rooms at a minimum. Responsible leadership is a factor in the implementation of policy on standard room capacity.

The result of the study has some implications for the lodging businesses, the local government unit (LGU), the Department of Tourism (DOT) and the Department of Environment and Natural Resources (DENR) in the CAR. The study highlights the contribution of the lodging establishments to CO₂ emission, which can degrade the quality of the environment, and the implication of responsible leadership in managing natural resources in the CAR. The direct inverse relationship between energy use and CO₂ emission in hotels indicates that increased energy consumption leads to environmental degradation (Ahmad et al., 2018). Therefore, responsible leadership among policymakers in the lodging and government sectors – LGU, DOT and DENR – should abound in the CAR. Benchmarking on the model embarked from this study can help in designing and/or enhancing the policy on room capacity standardization, considering the total area with its maximum capacity to keep the carbon emission at a lower rate. Furthermore, as a responsible leader in the community, one should create programs that regulate the number of tourists visiting the place to decrease the number of overnight stays. Besides, having the political will to implement reduced room occupancy throughout the lodging establishments in CAR can help reduce the carbon emissions from the lodging businesses. After all, one of the aims of the International Environment Protection Organization is to reduce CO₂ emissions in the tourism industry. Hence, responsible leadership in environmental quality preservation and sustainable natural resource management must help prevent and avoid greenhouse gas (GHG) emissions.

Most studies about carbon emission in the environment tackle about carbon dioxide emitted by transportation and factories. This study adds to the insights on the existing information about the carbon emission in the environment from the lodging establishments through the use of LPG, electricity and water consumption in the occupied guest rooms. The findings of the study open an avenue for globally responsible leadership in sustaining environmental quality and preservation of natural resources by revisiting and amending the policies on the number of room occupancy, guidelines and standardization, considering the total lodging area with its maximum capacity to keep the carbon emission at a minimum, thus contributing to the lowering of GHG emissions from the lodging industry.

This paper explores how conflicting institutional logics shape the behaviors of macro- and micro-level actors in their use of a calculative practice. Thereby, this paper explains how quantification can undermine the intended purpose of a governance system based on a single number.

The study draws upon the literature on calculative practices and institutional logics to present the case of how a single number—specifically the conversion factor for Atlantic Cod, established by macro-level actors for the purposes of governance within the Norwegian fishing industry—is interpreted and used by micro-level actors in the industry. The study is based on documents, field observations and interviews with fishers, landing facilities, and control authorities.

The use of the conversion factor, while intended to protect fish stock and govern industry actions, does not always align with the institutional logics of micro-level actors. Especially during the winter season, these actors may seek to serve their interests, leading to potential system gaming. The reliance on a single number that overlooks seasonal nuances can motivate unintended behaviors, undermining the governance system’s intentions.

Integrating the literature on calculative practices with an institutional logics perspective, this study offers novel insights into the challenges of using quantification for the governance of complex industries. In particular, the paper reveals that when the logics of macro- and micro-level actors conflict in a single-number governance system, unintended outcomes arise due to a domination of the macro-level logics.

The new technology-enabled means to transfer funds or value via crypto assets have prompted regulators and supervisors to question the effectiveness of the anti-money laundering (AML) regulatory framework. This paper aims to examine the recent developments of the EU AML legislation – leading up to the 2021 AML package – focusing in particular on the banks’ internal governance obligations.

The analysis is based on the legal dogmatic methodology and is therefore conducted thanks to a critical exam of the current and upcoming EU policy and legislation, taking into account the relevant literature and case-law.

The recent regulatory developments, culminating in the AML regulation, are strengthening the causal links between ML risk assessment–ML risk exposure–ML risk management, via internal governance procedures. One of the major AML regulatory strategies to react to the new challenges brought up by crypto assets amounts to a stricter and more demanding AML risk management regime imposed on banks.

The originality of this article lies in the analysis of the causal connection between money laundering risk identification and internal governance obligations. In particular, this article examines how the risk assessment will be shaping the organizational procedures, processes and internal functions necessary to manage the money laundering risks.

This paper brings attention to the role of hybrid middle managers. In particular it explores the relationship of organisational purpose and role requirements.

The primary research question for the original research was: What does it mean to hybrid managers to lead and deal with imposed changes (restructuring) to services? A novel narrative approach based on a synthesis of Czarniawska, Gabriel and Boje was applied. Accounts from interviews were condensed into narratives by initially using the categories defined by Gabriel (2000) as epic, tragic, comic and romantic and then further categorised into stories, themes and a serial (Czarniawska, 1997). The final stage of the three-way synthesised narrative approach incorporated Boje’s (2001) notion of “antenarrative” to include pre-emplotment elements.

Four narratives are provided that give insight to the nature of the struggles the hybrid middle managers were in the midst of. A struggle to address incongruent demands being placed on them that cause tension with their sense of purpose, organisational goals and their hybrid clinical roles and management roles. In the midst of these struggles the narratives illustrate the dynamic of ethical resistance that seeks a way forward. However, this appears to come at a health and well-being cost to the middle managers.

The paper offers up the notion of an added third bind to the traditional double, that of “ethical resistance”, a struggle to align organisational purpose with clinical and management role requirements. Theorising this third bind provides a new insight into understanding the context and dynamics of the hybrid middle manager role and behaviour. Indeed, the idea of ethical resistance may cause a revision of how resistance is understood.

This study aims to explore the applications of natural language processing (NLP) and data analytics in understanding large-scale digital collections in oral history archives.

NLP and data analytics were used to analyse the oral interview transcripts of 904 survivors of the Japanese American incarceration camps collected from Densho Digital Repository, relying specifically on descriptive analysis, keyword extraction, topic modelling and sentiment analysis (SA).

The researchers found multiple geographic areas of large residential communities of ethnic Japanese people and the place names of the concentration camps. The keywords and topics extracted reflect the deplorable conditions and militaristic nature of the camps and the forced labour of the internees. When remembering history, the main focus for the narrators remains the redress and reparation movement to obtain the restitution of their civil rights. SA further found that the forcible removal and incarceration of Japanese Americans during Second World War negatively impacted and brought deep trauma to the narrators.

This case study demonstrated how NLP and data analytics could be applied to analyse oral history archives and open avenues for discovery. Archival researchers and the general public may benefit from this type of analysis in making connections between temporal, spatial and emotional elements, which will contribute to a holistic understanding of individuals and communities in terms of their collective memory.

The destruction of armed confrontations – ranging from chronic armed conflicts to full-scale wars – leads to enormous loss of human lives and causes wide-scale devastation. They also leave deep and lasting traumas in the minds of those whose lives are torn apart because of a conflict. Memorialisation of conflict-affected sites plays an invaluable part in post-trauma recovery and can contribute to the reconciliation of different groups involved in a conflict as these sites are representatives of communities' collective memory, identity and a source of unity and resilience. This paper aims to investigate post-trauma recovery and reconciliation processes through the phenomena of memorialisation. It aims to answer how and if the memorialisation of sites of pain can contribute to the recovery and reconciliation of affected communities and serve as examples for other people around the world.

The documentation of such processes and the lessons learnt can offer valuable information for conducting similar exercises in other settings ravaged by a conflict. To achieve this, a review of literature on trauma, memory, memorialisation and difficult heritage was conducted, while the memorialisation processes from different cases such as Hiroshima and Nagasaki (1939–1945), Beirut (1975–1990) and Sarajevo's Vijecnica and Mostar Bridge (1992–1995) were analysed.

It was identified that the potential of memorialisation for post-trauma recovery and reconciliation is vast. However, if these processes can “heal” or “hurt” depend largely on who the stakeholders are; how the site and events are interpreted and presented; how pre/post-conflict relationships and dynamics are harnessed; how symbolic meanings (old and new) are [re]interpreted; the spatial-temporal nature of the site and those interacting with it; and the intended and perceived messages. Altogether, memorialisation of conflict-affected sites is a political and continuous process that should take into consideration all those directly and indirectly involved, the dynamics between them and all the symbolic meanings acquired and attributed to the site.

The study critically explores frameworks of memorialisation and their impact on both the built environment and communities. It contributes to the wider discussion of difficult heritage memorialisation and approaches to reflect on sites and cities emerging from crises such as conflict.

The current study qualitatively examined the challenges and lessons learned from Chief Executive Officers (CEOs) during the COVID-19 pandemic. The current study draws upon previous crisis leadership research to understand and classify the most important lessons learned from CEOs.

A total of 30 in-depth, structured CEO interviews were conducted with large, multi-divisional organizations across market sectors that included healthcare, automotive, steel, agriculture, logistics, distribution, banking, financial services, light manufacturing and industrial services during the COVID-19 pandemic. Three separate judges performed a content analysis, and three main themes (eleven overall lessons) emerged related to high-level leadership lessons learned through the pandemic.

The leadership lessons that emerged overwhelmingly focused on the importance of emphasizing leadership fundamentals during crisis. CEO’s shared the importance of getting “back to basics” during the pandemic. The current study presents these leadership lessons, along with insights for leadership practices and development, as well as future research. Additionally, questions for reflection are posed to stimulate current and future leaders’ growth and development.

The COVID-19 pandemic has impacted leadership and organizations in an unprecedented manner. Previous research has outlined the leadership traits and behaviors needed to successfully lead through organizational crises. However, little research has examined CEO level lessons learned, focusing on learning from such crises.

Recent scholarship has called for researchers to recognize the urgency of place-based education as a critical component of social studies pedagogy. This study seeks to understand better the relationship between place-based education, sacrificial listening and difficult history.

In this qualitative, arts-based research study, collaging is used to investigate how students use the theory of sacrificial listening while trying to make sense of difficult histories during a place-based history education experience. Students enrolled in a PBE experience received instruction about the theory of sacrificial listening at the beginning of a two-week course on the lasting impact of the civil rights movement. Students created a collage and responded to a reflection prompt about the course after engaging in course experiences, including travel to Oklahoma, Arkansas, Tennessee and Alabama.

Findings in the study demonstrate how sacrificial listening appeared, both explicitly and implicitly, in the ways students processed difficult history during a place-based education experience. Ultimately, the study found, though students organized their thoughts in distinct ways, they all leaned on the theory of sacrificial listening to make sense of what they learned.

Few studies have applied the theory of sacrificial listening as a pedagogical framework. Future research should build on this work, further investigating the theory as a pedagogical framework in conjunction with both place-based history education as well as other instructional settings.

Based on action regulation theory (ART), this study aims to test the impact of individual entrepreneurial orientation (IEO) training on small business owner career success (financial attainment, satisfaction and achievement). Moreover, this relationship was unpacked through a dual mediation model of IEO behaviour and career resilience.

A four-wave, longitudinal randomized controlled field experiment was conducted in which 527 small business owners participated from Lahore, Pakistan (training group = 256, control group = 271). The data analysis was done via ANCOVAs (group comparison) and PROCESS Model 6 (for serial mediation).

The results demonstrated that after getting IEO training, the small business owners had increased IEO behaviour, career resilience and career success as compared to their counterparts in the control group. In addition, the effect of IEO training on career success was attributed to the underlying role of IEO behaviour and career resilience development.

This is one of the few studies that have demonstrated the impact of IEO training on the career-related outcomes based on the action regulation perspective.

The effects of board composition on performance have long been discussed in management research using fractionalization measures. In this study, we propose an alternative measurement approach based on board polarization.

Using an exploratory analysis and applying the polarization measure to German Deutscher Aktienindex (DAX)-, Midcap-DAX (MDAX)- and Small Cap-Index (SDAX)-listed companies, this paper applies the polarization index to examine the relationship between board diversity and performance.

The results show that the polarization concept is well suited to measure principal-agent problems between the members of the management and supervisory boards. We reveal that board polarization is negatively associated with firm performance, as measured by return on investment (ROI).

This exploratory study shows that the measurement of board polarization can be linked to performance differences between companies, which offers promising starting points for further research.