bluuebunny/crossref_metadata_2025_split huggingface dataset:
Applying protection motivation theory to examine tourist’s pro-environmental behaviour: case study of Lahijan, Iran
Authors: Hosseinikhah Choshaly Sahar 
Published: July 2024

Purpose
This study aims to examine the pro-environmental behavior of tourists in one of the northern cities of Iran, Lahijan, by applying the Protection Motivation Theory (PMT).

Design/methodology/approach
The sample consists of a total of 180 tourists who had traveled to Lahijan city in Guilan province. Data is analyzed using descriptive analysis and structural equation modeling (SEM) technique using Smart PLS 3.0.

Findings
The results confirm the importance of PMT in explaining the pro-environmental behavior of tourists. The findings of this study show the significant relationship between vulnerability, severity, self-efficacy, response efficacy, response cost and maladaptive perception with tourist’s pro-environmental behavior. Moreover, rewards are not related to pro-environmental behavior.

Practical implications
This study provides a better understanding of how to motivate tourists toward pro-environmental behavior. It also contributes to reinforcing PMT by adding evidence from tourism research and delivers profiles for tourism providers.

Originality/value
The study contributes to the understanding of the predictors of pro-environmental behavior of tourists in Iran using a full PMT which encompasses three concepts of threats appraisal, coping appraisal and maladaptive perception.
Ecolabel persuasion effect across cultures: a comprehensive meta-analysis
Authors: Velasco Franklin , Itani Omar S. , Cajina Paul 
Published: July 2024

PurposeCompanies around the world have included ecolabels as a marketing strategy to convince consumers to choose products with lower environmental impact. However, the literature lacks a consensus on the effectiveness of ecolabels in persuading consumers to choose green products. The present meta-analysis addresses this gap by first evaluating the net persuasion effect of using ecolabels and second by investigating the role of cultural orientations, operationalized at the country level, in this effect.Design/methodology/approachThis cross-cultural meta-analysis analyzed data from 26,116 consumers across 18 countries, encompassing 75 papers published between 1995 and 2023. Univariate and meta-regression analyses were utilized.FindingsThe results demonstrate that the presence (vs absence) of ecolabels has a medium positive persuasion effect. Findings show cultural orientations moderate the persuasion effect of ecolabels in that the effect is stronger in countries with high power distance, individualism, masculinity (motivation towards achievement and success) and uncertainty avoidance orientation, which create contingent conditions to ecolabels’ persuasion. In addition, results show other methodological factors that affect ecolabel persuasion. Contributions and implications of the findings are discussed.Originality/valueThis meta-analysis is distinctive for its global scope, including diverse countries and cultures. It addresses a crucial gap in ecolabel persuasion research, providing insights that reconcile discrepancies in existing studies. It offers practical implications for businesses and policymakers while laying the groundwork for future cross-cultural research in this field.
Legitimacy and anti-corruption disclosures: insights into the early effects of the European Non-Financial Reporting Directive
Authors: Landis Cristina , Paglietti Paola 
Published: July 2024

Purpose
This study aims to investigate corporate anti-corruption disclosure (ACD) strategies during the regulative debate surrounding the European Directive 2014/95/EU which for the first time regulated ACD in Europe. By using a legitimacy framework, it assesses whether companies improved proactively their voluntary ACD during the transposition phase to address potential regulatory changes. Moreover, it investigates how organizational and institutional factors influence companies’ reaction.

Design/methodology/approach
This paper hand-collected ACD data (quantity, scope, quality and transparency) from non-financial reports for the years 2010–2015 for a set of 56 (28 EU and 28 non-EU) companies (336 firm-years observations). The study applies difference-in-difference analysis to assess the effects of the debate. Moreover, it tests the association of ACD with organizational and institutional attributes.

Findings
The study shows that EU-companies are proactively changing their disclosures. The response is positively influenced by industry exposure to corruption-risks and by lower government corruption, while self-reported negative disclosure impacts negatively. Further, lower government corruption increases the effects of industry exposure to corruption-risks. However, the impacts vary with the disclosure metric.

Originality/value
Besides reinforcing legitimacy as a driving-force in shaping ACD during the transition phase to a regulated context, the paper integrates traditional legitimacy arguments with insights related to the institutional context. This contributes to improving the understanding of the empirical setting where the production of regulation occurs and can support future regulative processes.
Barriers and prospects for the adoption of blockchain technology in property valuation
Authors: Adilieme Chibuikem Michael , Abidoye Rotimi Boluwatife , Lee Chyi Lin 
Published: July 2024

PurposeBlockchain is an emerging digital technology proposed and trialled among different built environment professions. The technology has been proposed to introduce transparency, security and trust in property transactions. Despite this proposition, few studies have analysed the barriers and prospects in property valuation, especially in markets plagued by low transparency and a lack of stakeholder trust. Using Nigeria as a case study, this study assesses the barriers and prospects for adopting blockchain technology in property valuation.Design/methodology/approachData was collected from 180 valuers practising in Nigeria through an online survey, and the data was analysed using mean score ranking and the chi-square (χ2) test of independence.FindingsFirstly, there was a low awareness of the application of blockchain technology and an association between the number of valuation jobs executed annually and awareness of the application of blockchain technology. The most important barriers revolved around the knowledge, technical know-how of blockchain and the cost of implementing such technology. The prospects for blockchain are very high as all identified prospects were considered important, with transparency being the most crucial factor for its adoption, followed by the monitoring activities in real time and the permanence in storing records.Research limitations/implicationsThis study's implications lie in the potential benefit of transparency identified for blockchain, which could act as a tool to introduce transparency into valuation industries that battle key issues surrounding transparency and trust. Furthermore, this study can be utilised by policymakers and property industry players in mapping strategies to adopt the beneficial use of blockchain as one among the suite of proptech tools disrupting the property valuation scene, in their practice. This also presents an opportunity to draw upon insights from this study to better prepare for using blockchain in property valuation.Originality/valueThis study appears to be the first to empirically assess barriers and prospects for blockchain in property valuation practice. It contributes to the literature by identifying key factors that will deter and/or promote the application of blockchain, an emerging and disruptive digital technology.
Does corruption play a role in the process of financial globalization in emerging countries?
Authors: Yunan Zuhairan Yunmi , Pacheco-Jaramillo W. Alejandro 
Published: August 2024

Purpose
This paper aims to examine various indicators related to corruption and determine their impact on financial globalization in emerging countries. It will consider other factors that may impact financial globalization and focus on how corruption within political, executive and public sector institutions can affect this process.

Design/methodology/approach
This paper uses a generalized method of moments (GMM) for a data sample of emerging countries covering 2000–2020. Corruption measurements are derived from the varieties of democracy data sets and Transparency International. It also includes data on foreign direct investment, portfolio flows, foreign exchange and international debt as separate indicators of financial globalization. These measures provide more detailed information on the types of financial transactions occurring across countries.

Findings
The results reveal that foreign investors may be less likely to enter certain sectors of the economy due to concerns about unethical practices and difficulties navigating the regulatory landscape in countries with high levels of corruption. This can lead to underdevelopment in sectors that are attractive to foreign investment and a reliance on a narrow range of sectors.

Originality/value
This paper offers valuable insights by integrating corruption and financial globalization indicators, using the GMM for robust analysis. It highlights how corruption influences foreign investment decisions, potentially leading to sectoral underdevelopment and overreliance in emerging countries.
Data-driven decision-making method for determining the handling department for online appeals
Authors: Chen Sheng-Qun , You Ting , Zhang Jing-Lin 
Published: July 2024

PurposeThis study aims to enhance the classification and processing of online appeals by employing a deep-learning-based method. This method is designed to meet the requirements for precise information categorization and decision support across various management departments.Design/methodology/approachThis study leverages the ALBERT–TextCNN algorithm to determine the appropriate department for managing online appeals. ALBERT is selected for its advanced dynamic word representation capabilities, rooted in a multi-layer bidirectional transformer architecture and enriched text vector representation. TextCNN is integrated to facilitate the development of multi-label classification models.FindingsComparative experiments demonstrate the effectiveness of the proposed approach and its significant superiority over traditional classification methods in terms of accuracy.Originality/valueThe original contribution of this study lies in its utilization of the ALBERT–TextCNN algorithm for the classification of online appeals, resulting in a substantial improvement in accuracy. This research offers valuable insights for management departments, enabling enhanced understanding of public appeals and fostering more scientifically grounded and effective decision-making processes.
Global supply chain network design for shelf-life products under uncertainty: a case study of pistachios
Authors: Mostaghimi Fatemeh , Jabalameli Mohammad Saeed , Bozorgi-Amiri Ali 
Published: July 2024

PurposeSupply chain management has become critical in today’s globalized environment, with growingly intense competition on the international level. The particular characteristics of modern trade have led companies to globalize and devise increasingly sophisticated supply chains to meet customer demand worldwide. Motivated by the need to address these challenges, we have developed a new model for a global supply chain that incorporates uncertainties in exchange rates, demand fluctuations, and the quantity of produce.Design/methodology/approachThe objective of the proposed model is to maximize supply chain profitability. Our model optimizes several critical decisions in the proposed global supply chain, including the location of domestic and foreign distribution centers, allocating the centers to customers, transportation mode selection, storage temperature, optimal farm purchase quantities, product flows across the network, and the shelf-life of products. Scenario-based stochastic programming approach is employed to account for the inherent uncertainties within the model. A pistachio supply chain is examined as a case study in this article, and the efficiency of the proposed model is demonstrated through computational results.FindingsThe model was solved using the CPLEX solver in GAMS and the results, the Sirjan DDC and Turkey FDC have been selected. In general, 40% of demand for customers from FDC (turkey) and 60% of demand from DDC (sirjan) is provided. Changes in the demand of foreign customers make the net profit more effective than changes in the demand for domestic customers. The decrease in exchange rate decreases the network profit with a higher slope and the increase in exchange rate will increase network profit with a relatively stable slope.Originality/valueWhile research on GSCs for perishable products has been ongoing for several years, the importance of the subject necessitates continued investigation in this area. This paper aimed to address this gap by presenting an optimization model for designing GSCs for perishable products under uncertainty and with various transportation modes. The proposed model was designed with the aim of improving supply chain performance and real-world applicability.
Does ChatGPT foster academic misconduct in the future?
Authors: Kumar Anuj , Kumar Arya , Bhoyar Sanjay , Mishra Ashutosh Kumar 
Published: July 2024

PurposeThis paper analyzes the ethics of integrating Artificial Intelligence (AI), particularly regarding AI-generated educational content in academia. It attempts to explore how AI customization mimics human interaction and behavior in education, investigate ethical concerns in educational AI adoption, and assess ChatGPT’s ethical use for nurturing curiosity and maintaining academic integrity in education.Design/methodology/approachFictional tales may help us think critically and creatively to uncover hidden truths. The narratives are analyzed to determine the affordances and drawbacks of Artificial Intelligence in Education (AIEd).FindingsThe study highlights the imperative for innovative, ethically grounded strategies in harnessing AI/GPT technology for education. AI can enhance learning, and human educators’ irreplaceable role is even more prominent, emphasizing the need to harmonize technology with pedagogical principles. However, ensuring the ethical integration of AI/GPT technology demands a delicate balance where the potential benefits of technology should not eclipse the essential role of human educators in the learning process.Originality/valueThis paper presents futuristic academic scenarios to explore critical dimensions and their impact on 21st century learning. As AI assumes tasks once exclusive to human educators, it is essential to redefine the roles of both technology and human teachers, focusing on the future.
Sustainability, business strategy and innovation: a thematic literature review
Authors: Trizotto Rafaela Cabral Almeida , Nascimento Leandro da Silva , da Silva Josiane Piva Testolin , Zawislak Paulo Antônio 
Published: July 2024

Purpose
Challenges related to sustainability have increasingly become pivotal in the realm of business strategy and innovation. Nevertheless, the incorporation of sustainability principles into business strategies and innovative practices remains a subject of ongoing scholarly debate. This paper aims to undertake a thematic literature review on this theme.

Design/methodology/approach
Data were gathered from the Scopus, Web of Science and Science Direct databases. The final sample comprised 85 papers. For analytical purposes, this study adopted topic modeling using Latent Dirichlet Allocation (LDA) methodology.

Findings
The authors identified five dominant topics concerning the relationship between sustainability, innovation and business strategy. Through a cross-analysis of these topics, the authors theorize that a sustainable innovation strategy encompasses three complementary and interdependent dimensions: capabilities, management and firm. Building on this analysis, the authors outline a research agenda aimed at further exploration and advancement of this theme.

Practical implications
This review enhances the synthesis of research on the theme, prompting reflections on how companies can initiate innovative sustainable actions that align with their business strategy. Additionally, the authors identify specific elements that require improvement to enhance each of the three dimensions of sustainable innovation strategies, such as eco-efficiency, circular economy and the adoption of innovative business models oriented toward services/servitization.

Social implications
By interweaving sustainability with innovation and business strategy, this study underscores the critical topics that companies and public policymakers should address to support sustainable development at the national level.

Originality/value
While previous literature reviews have focused on the dyadic relationships between sustainability and strategy, or sustainability and innovation, this study extends the boundaries of knowledge by integrating these three concepts into a hybrid theoretical stream.
Catalyzing the carbon emission: the interplay of financial development and foreign investment in Asia-Pacific and Oceanian region
Authors: Bhat Mohd Nadeem , Ikram Firdos 
Published: July 2024

Purpose
This study aims to explore the interplay between CO2 emissions, financial development (FD) and foreign direct investment (FDI) in Asia-Pacific and Oceania. It also aims to understand short- and long-term impacts, emphasizing the role of FDI, FD and FD’s moderating effect on the FDI–CO2 relationship.

Design/methodology/approach
Using a 21-year panel data set (2000–2020) from 44 countries, the study employs the pooled mean group-autoregressive distributed lag (PMG-ARDL) model supplemented by the Dumitrescu–Hurlin panel causality test. This method assesses the complex dynamics and offers a robust analysis of short- and long-term effects in the Asia-Pacific and Oceanian context.

Findings
Long-term results indicate that FDI coupled with FD and FD’s moderating effect on FDI significantly contributes to CO2 emissions. Short-term relationships are more complex and lack statistical significance. FD positively moderates the FDI–CO2 relationship in the long run.

Practical implications
For investors, policymakers and stakeholders in Asia-Pacific and Oceania, the study highlights the importance of considering environmental impacts in investment decisions. The insights into the role of FDI and FD help craft policies and strategies for environmental sustainability.

Social implications
Socially, this research emphasizes the necessity of a balanced approach to economic development, considering the potential long-term environmental consequences. Policymakers and stakeholders may use these findings to guide discussions and actions to achieve sustainable and socially responsible development in this dynamic region.

Originality/value
The findings contribute original insights into the essential relationships among FDI, FD and CO2 emissions in a diverse region like Asia-Pacific, enhancing the understanding of environmental implications in regions experiencing rapid economic growth.
Food, glorious food! The intersection of food cultures and creative tourism in Brunei
Authors: Tham Aaron , Chin Wei Lee 
Published: July 2024

PurposeThe purpose of this research is to apply the theoretical frameworks of resource-based view (RBV) and Social Creativity to elucidate insights related to food cultures and creative tourism in the context of Brunei. This addresses an important gap in the literature to unpack how food cultures and creative tourism can become a vehicle for the diversification of a country’s reliance on oil and gas as primary industries.Design/methodology/approachA case study approach was taken in this research, utilising both primary and secondary data such as social media posts, media reports and semi-structured interviews to shed light on an emerging niche market in Brunei tourism.FindingsThe research revealed the entrepreneurial mindset of local food chefs and enthusiasts in showcasing Bruneian heritage and cultures, supported by government campaigns and technological advances. This lends further evidence that food cultures and creative tourism can be a lever for a national economic diversification strategy and can be validated elsewhere.Research limitations/implicationsThis is one of the first studies to investigate the intersection of the RBV and Social Creativity to advance the theory and practice of tourism in South East Asia.Practical implicationsThe intersection of food cultures and creative tourism within Brunei is dovetailed into the theoretical frameworks of the RBV and Wilson’s Social Creativity Framework. This is evidenced in a diversification strategy emerging from the case study of Brunei, where food is earmarked as a heritage resource and leverages individual, and in particular, young people’s creativity to generate a niche tourism market for the country.Social implicationsThe paper illuminates the role of technology as a vehicle for the discourses of creativity, reflexivity, education and economy to flourish. Through co-created content on social media, food heritage and creative tourism experiences are foregrounded and assisted by the entrepreneurs in reaching their desired audiences. Arguably, such tools helped the country alleviate the devastating impacts of COVID-19 and thrust domestic food tourism experiences into the spotlight, like other destinations.Originality/valueThis is one of the first studies to investigate the intersection of the RBV and Social Creativity to advance the theory and practice of tourism in South East Asia.
Inclusion of people with disability (PWD) in the tourism workforce: a critical discourse analysis of policies and plans
Authors: Lu Siqi Emily , Moyle Brent , Yang Elaine Chiao Ling , Reid Sacha 
Published: July 2024

Purpose
This paper aims to critically examine the discourse on the disability workforce in Australian tourism policy and planning documents.

Design/methodology/approach
This research draws on a database of 490 Australian tourism policy and planning documents, across national, state, regional and local levels of governments, destination management organisations and peak industry bodies, to systematically examine the issues pertaining to disability workforce over the ten-year policy cycle (2013–2023), through critical discourse analysis.

Findings
Analysis revealed 20 of the existing 490 documents had mentions of the inclusion of people with disability (PWD) in the tourism workforce. Through critical discourse analysis, the nuances of political attitudes are evident. Tourism policies tend to exert a cautious approach towards the inclusion of PWD employment. PWD do not have a strong voice when it comes to the formation of tourism policy, especially not as members of the tourism workforce.

Practical implications
This research underscores an emerging call for the government’s commitment to considering the underrepresented social group of PWD in the tourism workforce. By shedding light on critical discourse analysis of the disability workforce, tourism scholars and practitioners understand the current challenges and explore opportunities to implement tangible actions for an inclusive work environment for all.

Originality/value
The research is novel and innovative as it critically examines the discourse of the disability workforce in the tourism sector through an institutional theory perspective. The limited emphasis of government policies on the disability workforce may result in missed opportunities to encourage meaningful employment engagement of PWD in tourism organisations. Consequently, this research contributes a tripartite model of policy recommendations that explicitly articulates the mechanisms for change that are tailored to tourism workforce and advocates for the active voices of PWD community in the policy formation process.