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This study comparatively examines the collaborative policy mechanisms for interlocal cooperation (ILC) utilized by municipal managers in Nebraska, USA, and Norway. The research addresses differences in ILC, factors of national setting and implications for ILC management in public service delivery.

Over a seven-year period, the researchers collected data from 16 communities in the two countries to observe perceptions and usages of ILC. Using a policy tools theoretical framework, the authors apply a typology of collaborative mechanisms for comparative analysis.

The findings suggest that institutional orientations in the USA and Norwegian systems of government affect managerial approaches to collaborative service delivery, namely the operationalization of local governments within federal and unitary structures may influence perceptions toward the formality and specificity of ILC policy mechanisms.

This study offers further understanding of ILC mechanisms for public sector management. Theoretical and practical implications of ILC in a comparative international context of governmental systems for collaboration are explored.

The purpose of this case study was to complement existing weeding and retention criteria beyond the most used methods in academic libraries and to consider citation counts in the identification of important scholarly works.

Using a small sample of items chosen for withdrawal from a small liberal arts college library, this case study looks at the use of Google Scholar citation counts as a metric for identification of notable monographs in the social sciences and mathematics.

Google Scholar citation counts are a quick indicator of classic, foundational or discursive monographs in a particular field and should be given more consideration in weeding and retention analysis decisions that impact scholarly collections. Higher citation counts can be an indicator of higher circulation counts.

The authors found little indication in the literature that Google Scholar citation counts are being used as a metric for identification of notable works or for retention of monographs in academic libraries.

Premium subsidy rates were increased in 2019 and 2020 for livestock risk protection (LRP) insurance, which is price insurance for cattle producers. The authors examined if the LRP subsidy rate changes affected the LRP coverage levels purchased by feeder and fed cattle producers.

The authors collected the United States Department of Agriculture Risk Management Agency summary of business sales data for daily LRP purchases from 2015 to 2023. The authors estimated a multinomial logit model to determine if subsidy rate changes were associated with the likelihood of LRP policies being purchased at different coverage levels.

After the 2019 and 2020 subsidy rate changes, the likelihood of producers buying LRP-feeder cattle policies with coverage over 95% increased relative to the policies with coverage less than 89.99% but did not influence the likelihood of producers buying LRP-feeder cattle policies with coverage between 90 and 94.99% relative to policies with coverage less than 89.99%. Marginal effects show these subsidy rate changes increased the likelihood of buyers purchasing LRP-feeder cattle policies with greater than 95% coverage. The subsidy change did not affect the purchase of LRP-fed cattle policies.

The results demonstrate the influence of the recent LRP policy adjustments on insurance purchases, which could be important for agency officials and policy makers. This is the first study to explore the LRP policy purchases which provides the United States cattle industry insight into the LRP price insurance take-up, which can guide producer extension education on managing price risk.

This study aims to analyze the importance and performance of customer-facing technologies in luxury hotels. The study also assessed differences between and within the four generations in the importance-performance analysis (IPA).

Data were collected using a Qualtrics panel of recent luxury hotel customers in the USA belonging to all four generations. The cross-generational IPA was conducted using t-tests and (ANAOVA).

The IPA matrix concentrated most technology items in either low importance – low performance or high importance – high performance quadrants. One-way ANOVA revealed significant differences between generations on the importance ratings of all technology items except wireless charging power solutions and on the performance ratings of all technology items. Furthermore, post hoc tests indicated that millennials rated luxury technology most favorably among the four cohorts, followed by generations Z, X and Baby Boomers. In addition, significant differences between the importance and performance of many technology items within each generational cohort were observed. Overall, Wi-Fi was unanimously ranked across generations as the most important technology among luxury guests, but it was the only one that scored lower in performance than importance.

The findings of this study contribute to hospitality scholarship in two primary ways: the importance and performance of technology and generational differences. The results advance the understanding of the impact of generational factors on customer-facing technological adoptions in the luxury hotel sector.

Technologies that are pervasive in the home also become vital offerings for hotels. The more pervasive technology, the more a luxury hotel must work to ensure that it performs at optimal levels. Additionally, which technologies are most important to targeted generations are provided so practitioners may budget for their implementation.

This research is a pivotal step forward in unraveling the intricate interplay between generational factors and technological evaluations, providing a foundation for future research and practical applications in a rapidly evolving technological landscape in the hospitality industry.

The purpose of this paper is to investigate the feasibility of automating Google Scholar searching to harvest citation data of monographs for collection analysis.

This study discusses the creation and refinement of a Scraper application programming interface query structure created to match library collection inventories to their Google Scholar listings to retrieve citation counts.

This paper indicates that Google Scholar is a feasible and usable tool for retrieving monograph citation data.

This study shows that Google Scholar citation data can be harvested for monographs in an automated fashion to serve as a source of bibliographic data, something not typically done outside of individual academics and writers tracking their personal academic impact factors.

Drawing on theories of organisational identity, social exchange and stakeholder engagement, this study aims to investigate the processes and practices involved in the formation and shaping of identities of social enterprises (SEs) that operate in the Malawian hospitality and tourism industry.

Drawing on an interpretive research paradigm, data collected from 22 semi-structured interviews with four founders of case SEs and stakeholders, and SEs’ reports and other publicly available documents were generated and analysed following a grounded theory approach.

The authors show that the trajectory SEs followed and the exchanges that occurred with the external stakeholders allowed three out of four case SEs to swiftly re-evaluate their pre-existing identities and work towards the formation of their new identities.

This study provides an opportunity for policymakers and other actors in developing countries to frame and place SEs in line with the wider societal realities in such contexts. This may in turn call for policymakers to increase actors’ engagement with SEs and provide the necessary support that can allow SEs to be an effective force for the public good.

This paper highlights the role of exchanges with external stakeholders in identity formation and shaping within SEs in the hospitality and tourism sector in the context of institutional voids. By adopting the social exchange theory, this paper introduces a dynamic lens to identity formation and shaping and helps to explain how, across different tourism ventures, stakeholder engagement and different modes of exchange unfold in the inter-organisational and community domains. It further shows how the ventures’ value orientations on the one hand, and stakeholder engagement practices and the ensuing exchanges, on the other hand, are closely interwoven.

The study aims to develop a model that supports the application of data science techniques for real estate professionals in the fourth industrial revolution (4IR) era. The present 4IR era gave birth to big data sets and is beyond real estate professionals' analysis techniques. This has led to a situation where most real estate professionals rely on their intuition while neglecting a rigorous analysis for real estate investment appraisals. The heavy reliance on their intuition has been responsible for the under-performance of real estate investment, especially in Africa.

This study utilised a survey questionnaire to randomly source data from real estate professionals. The questionnaire was analysed using a combination of Statistical package for social science (SPSS) V24 and Analysis of a Moment Structures (AMOS) graphics V27 software. Exploratory factor analysis was employed to break down the variables (drivers) into meaningful dimensions helpful in developing the conceptual framework. The framework was validated using covariance-based structural equation modelling. The model was validated using fit indices like discriminant validity, standardised root mean square (SRMR), comparative fit index (CFI), Normed Fit Index (NFI), etc.

The model revealed that an inclusive educational system, decentralised real estate market and data management system are the major drivers for applying data science techniques to real estate professionals. Also, real estate professionals' application of the drivers will guarantee an effective data analysis of real estate investments.

Numerous studies have clamoured for adopting data science techniques for real estate professionals. There is a lack of studies on the drivers that will guarantee the successful adoption of data science techniques. A modern form of data analysis for real estate professionals was also proposed in the study.

Stakeholder engagement in construction projects is an ingredient that contributes to project optimal performance. Many developing countries have a paucity of literature about stakeholders' engagement in construction projects. Therefore, the study investigated South Africa's shareholders' engagement in construction projects and recommended possible measures to mitigate potential limitations.

The researchers collated data from South African experts in stakeholder engagement via a phenomenology type of qualitative research design. They explored the “perceived hindrances” facing stakeholders' engagement in construction projects and proffer measures to mitigate them. The study analysed collected data via thematic analysis and achieved saturation. Three themes emerged from the analysed data.

Findings show that efficient stakeholder engagement will enhance team collaboration and integrated construction project delivery. Results identified the perceived limitations facing stakeholders' engagement in South Africa's construction projects and categorised them into individual perceived hindrances, organisational perceived hindrances and government-related perceived hindrances. Also, findings proffer measures to mitigate perceived hindrances via policies and programmes within the sector.

Besides enhancing policymakers and other stakeholders in South Africa's construction industry to understand the benefits of stakeholder engagement better, the study may stir up the construction sector's stakeholders to embrace enhanced and effective stakeholders' management.

This study contributes to construction project practice that involves stakeholders, as it reveals the underlying causes of perceived hindrances facing stakeholders' engagement in construction projects. Also, it proffers feasible solutions to mitigate these hindrances and enhance stakeholders' engagement within South Africa's construction projects.

The organised self-help approach successfully enhances urban low-income earners' (LIE) homeownership in some developing countries. The technique can enhance urban resilience for sustainable LIE homeownership. There is a paucity of studies concerning sustainable homeownership for Nigeria's urban LIE through a self-help approach. The study investigated the housing needs of the urban LIE via organised self-help mechanisms and how the same can enhance urban resilience for sustainable homeownership in the Ancient City of Benin, Nigeria.

Given the unexplored nature of the issue, 20 face-to-face interviews were conducted with experts and analysed through a thematic approach.

Findings identified eleven main barriers faced by the urban LIE. This includes the absence of government housing policy, funding frameworks, urban land scarcity, high property development costs, naira devaluation, high-interest rates, inflation, bribery and corruption, lax mortgage sub-sector, high cost of infrastructure, and government bureaucracy.

This study will contribute to pioneering the role of organised self-help mechanisms in urban resilience for sustainable LIE homeownership in developing cities via a qualitative approach. Also, findings would significantly contribute to developing countries' sustainable housing and urban resilience literature.

Inadequate strategic planning and maintenance budget may undermine the maintenance of the Higher Education Institution Building (HEIB). Studies have shown that a customised maintenance concept such as Soft System Methodology (SSM) can improve public building maintenance operations. There is a paucity of studies regarding public HEIB maintenance in Nigeria via an SSM approach. Therefore, the research investigated the state of public HEIB and developed a framework to improve public HEIB maintenance practices in Nigeria.

The research adopted SSM to understand Nigeria’s public HEIB maintenance practices. The SSM permitted a substitute approach to improve public HEIB maintenance practices via a developed framework. Data were collated via virtual interviews with experts, and findings were presented in line with the SSM seven steps.

Findings show that besides the shoddy state of public HEIB maintenance, there is no public digitalised HEIB framework to improve maintenance practices across Nigeria’s higher education institutions. The study developed a digitalised framework with the support of Computerised Maintenance Management System from the findings. It would reposition the public HEIB and stir up various agencies/departments/units managing maintenance for better service delivery via integrated delivery, practical, methodological and managerial aspects.

The research investigated Nigeria’s public HEIB maintenance practices via SSM to identify the required document and propose a feasible framework to improve Nigeria’s HEIB maintenance practices. Besides the developed conceptual framework, Nigeria’s HEIB maintenance practitioners and higher institution chief executives can use the recommended framework as guidelines to improve HEIB maintenance practices.