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Over the past decade, there have been a number of studies that examined either shipper or carrier selection and evaluation factors. However, there has been little comparison between how these two groups perceive these factors with regard to their partners. This study examines the similarities and differences with the rankings of factors between shipper and carrier groups. Furthermore, the results highlight the various levels of satisfaction between the two groups.

(1) A concern often expressed in relation to cryptocurrencies is the environmental impact associated with increasing energy consumption and mining pollution. Controversy remains regarding how environmental attention and public concerns adversely affect cryptocurrency prices. Therefore, the paper aims to introduce the index of cryptocurrency environmental attention (ICEA), which aims to capture the relative extent of media discussions surrounding the environmental impact of cryptocurrencies. (2) The impacts of cryptocurrency environmental attention on long-term macro-financial markets and economic development remain part of undeveloped research fields. Based on these factors, the paper will further examine the effects of the ICEA on financial markets or economic developments.

(1) The paper introduces a new index to capture cryptocurrency environmental attention in terms of the cryptocurrency response to major related events through gathering a large amount of news stories around cryptocurrency environmental concerns – i.e. >778.2 million news items from the LexisNexis News & Business database, which can be considered as Big Data – and analysing that rich dataset using variety of quantitative techniques. (2) The vector error correction model (VECM) and structural VECM (SVECM) [impulse response function (IRF), forecast error variance decomposition (FEVD) and historical decomposition (HD)] are useful for characterising the dynamic relationships between ICEA and aggregate economic activities.

(1) The paper has developed a new measure of attention to sustainability concerns of cryptocurrency markets' growth, ICEA. (2) ICEA has a significantly positive relationship with the UCRY indices, volatility index (VIX), Brent crude oil (BCO) and Bitcoin. (3) ICEA has a significantly negative relationship with the global economic policy uncertainty (GlobalEPU) and global temperature uncertainty (GTU). Moreover, ICEA has a significantly positive relationship with the industrial production (IP) in the short term, whilst having a significantly negative relationship in the long term. (4) The HD of the ICEA displays higher linkages between environmental attention, Bitcoin and UCRY indices around key events that significantly change the prices of digital assets.

The ICEA is significant in the analysis of whether cryptocurrency markets are sustainable regarding energy consumption requirements and negative contributions to climate change. Understanding of the broader impacts of cryptocurrency environmental concerns on cryptocurrency market volatility, uncertainty and environmental sustainability should be considered and developed. Moreover, the paper aims to point out future research and policy legislation directions. Notably, the paper poses the question of how cryptocurrency can be made more sustainable and environmentally friendly and how governments' cryptocurrency policies can address the cryptocurrency markets.

(1) The paper develops a cryptocurrency environmental attention index based on news coverage that captures the extent to which environmental sustainability concerns are discussed in conjunction with cryptocurrencies. (2) The paper empirically investigates the impacts of cryptocurrency environmental attention on other financial or economic variables [cryptocurrency uncertainty (UCRY) indices, Bitcoin, VIX, GlobalEPU, BCO, GTU index and the Organisation for Economic Co-operation and Development IP index]. (3) The paper provides insights into making the most effective use of online databases in the development of new indices for financial research.

Whilst blockchain technology has a number of useful implications and has great potential to transform several industries, issues of high-energy consumption and CO2 pollution regarding cryptocurrency have become some of the main areas of criticism, raising questions about the sustainability of cryptocurrencies. These results are essential for both policy-makers and for academics, since the results highlight an urgent need for research addressing the key issues, such as the growth of carbon produced in the creation of this new digital currency. The results also are important for investors concerned with the ethical implications and environmental impacts of their investment choices.

(1) The paper provides an efficient new proxy for cryptocurrency and robust empirical evidence for future research concerning the impact of environmental issues on cryptocurrency markets. (2) The study successfully links cryptocurrency environmental attention to the financial markets, economic developments and other volatility and uncertainty measures, which has certain novel implications for the cryptocurrency literature. (3) The empirical findings of the paper offer useful and up-to-date insights for investors, guiding policy-makers, regulators and media, enabling the ICEA to evolve into a barometer in the cryptocurrency era and play a role in, for example, environmental policy development and investment portfolio optimisation.

Scholars note there are limited studies analyzing ticket price determinants. Using the common seat approach, the authors sought to advance this line of research by analyzing determinants of National Basketball Association (NBA) ticket prices in the secondary ticket market. The authors’ research seeks to ask two questions. The first is how ticket prices in the secondary market are associated with common determinants of consumer demand. The second question is what impact the COVID-19 pandemic has on ticket prices in the secondary market.

Ticket prices of NBA regular season games in the 2021–2022 season were collected a week before the game day from Ticketmaster.com. A regression model was estimated with a group of independent variables: income, population, consumer preference, quality of viewing, quality of contest and pandemic (the number of COVID-19 cases).

Results indicate income, population, consumer preferences (e.g. team quality and star players) and quality of viewing (e.g. arena age and weekend) impact prices. Further, the number of COVID-19 cases did reduce the ticket price.

The present study illuminates the theoretical significance of analyzing ticket prices as a proxy of demand in professional sport, while providing practical implications regarding the potential opportunity to increase revenue.

This study seeks to examine the motivational and socio‐demographic characteristics of meetings, incentives, conventions and exhibitions (MICE) visitors to Taiwan in order to identify salient market subgroups or segments. The aim is to establish results with relevance to Asian destinations and with some more general applicability.

Based on the literature and expert input a questionnaire was designed and pretested. Using convenience sampling, data were collected from MICE visitors to Taipei (Taiwan). Principal components, hierarchical cluster, K‐means, chi‐square and ANOVA analyses of the data provide information about MICE visitors and their segments.

Three motivation‐based MICE segments are identified. Variable values suggest the following segment names – value seekers, no‐value seekers, and education seekers. Significant socio‐demographic differences are found between the segments. Results provide insight into MICE visitor decision making showing the role of business, education and leisure‐related motives. Discussion focuses attention on implications of the results for the development of tourism strategies.

The findings enhance understanding of the motivations of MICE visitors. The information adds to the knowledge that destination marketers can consider in developing a competitive edge. Since Taipei's MICE visitors should be similar to those of Asian competitors, results contribute to a better understanding of MICE business, education and leisure‐related motives and activities in Asia.

Social networking sites (SNS) are changing the methods of social connectivity – and what it means to be public. Existing literature hints at competing perspectives on how the public nature of these sites impacts users. The question of how the perceived publicness of SNSs influences users' self‐disclosure intentions is debated in the literature, and the aim of this paper is to answer this debate.

This paper theorizes competing perspectives on the role of publicness on self‐disclosure. Competing perspectives are tested using data collected via an online survey.

The study finds support for the perceived publicness of a SNS negatively influencing users' self‐disclosure intentions. Additionally, exploratory analysis of self‐disclosure items ubiquitous to most SNSs found that perceived publicness negatively influences users' intention to self‐disclose items related to users' likes and affiliations.

Variables of the study were self‐reported and, as such, are subject to the typical limitations of cross‐sectional, survey‐based research. Future research should seek to examine how perceived publicness and other variables impact self‐disclosure in SNSs over time.

Business models utilizing social networking technologies rely on users' willingness to engage in self‐disclosure. This research provides a theoretical link between the public nature of a social networking environment and users' willingness to self‐disclose. Highlighting perceived publicness as an important aspect of an environment could be one way to address the need to elicit and manage users' self‐disclosure.

The paper utilizes a unique, but established, method of competing hypotheses to understand the role of the public nature of SNSs.

Drawing on the organizational buying decision-making framework, the purpose of this study is to investigate how sales orientation (SOCO) affects buyers’ conflict, salesperson-owned loyalty and buyers’ propensity to end a supply relationship when selling firms use a single versus multiple salesforce go-to-market strategy.

Survey data was analyzed with a sample of organizational buyers. Confirmatory factor analysis and structural equation modeling were used to analyze the data.

Findings reveal that a selling firm’s go-to-market salesforce strategy moderates certain relational aspects of the buyer–salesperson relationship, consequently influencing a buyer’s decision to end a supply relationship.

Empirically, these findings indicate that the effects of selling orientation on conflict, salesperson-owned loyalty and exit intentions are not only based on the salesperson’s efforts but are conditional on the selling firm’s go-to-market strategy, particularly with the implementation of multiple salespeople selling to a particular industrial buyer.

These results suggest that a salesforce go-to-market strategy conveys serious consequences on buying decisions. Given that a go-to-market strategy involving multiple salespeople impacts the buyer’s relationship with the selling firm to a greater degree, managerial oversight must remain present when selling firms decide to pursue such a go-to-market strategy.

The empirical investigation of a salesforce go-to-market strategy is an original pursuit. Specifically, this study shows that while it is critical that buying and selling firms monitor buyer–salesperson relationships as the basis for supply partnerships, these exchanges are largely contingent on the selling firm’s go-to-market strategy.

This study aims to examine the role of experiential familiarity in determining the competitiveness of hotel chains. It does so by comparing the attribute-performance perceptions of guests who had and had not previously stayed at a property belonging to a specific hotel chain. It also examines how far such perceptions shape word-of-mouth and future purchase intentions.

Data were collected from 1,016 Finnish leisure tourists in 2021 using an online questionnaire, providing a representative sample of Finnish domestic leisure tourists.

The results indicate that the competitiveness of different hotel chains depends on a small number of key attributes. Differentiation between hotel chains can be seen from the results. Previous guests rate hotel chain attributes more highly than non-previous guests. Behavioral intentions do not differ between previous and non-previous guests, but how many times a person has stayed in the hotel chain significantly influences behavioral intentions. The results provide strategic levers that hotel chains can use to enhance their competitiveness.

Hotels should invest in attributes that have the biggest positive impact on customer behavior. These will be different for different hotel chains. By understanding these differences, it is possible to communicate relevant attributes to customers through marketing and develop hotel features that will drive revisit intention and word-of-mouth marketing.

This study found that while certain hotel attributes had a significant shaping effect on guests’ performance ratings, there were no decisive differences between those with or without experiential familiarity with the hotel chain.

This study focuses on the potential difficulties in implementing a relationship marketing strategy within a retail context. We suggest that a number of attributes characterise the nature of the service and market structure are influential in an organisation’s ability to implement relationship marketing. Specifically, these are balance of power; level of involvement with the purchase; professionalism of the service provider; and level of personal contact. Seven dimensions central to relationship marketing in a retail context are derived from the literature. Via survey research, these are evaluated in four service contexts, namely: hairdresser/barber; optician; recreation centre; and supermarket. Findings indicate that because of the influence of the four factors identified above, hairdressers, opticians, and recreation centres are more likely to operate in conditions that give greater support to the development of relationship marketing.

The Comrades Marathon is a world‐renowned ultra marathon that takes place yearly between the cities of Pietermaritzburg and Durban in KwaZulu‐Natal, South Africa. It attracts athletes from around the world, and boasts a participation of more than 14,000. The purpose of this article is to determine the impact that this marathon has on the provincial economy – a manufacturing‐based economy.

Spending data of participants and their accompanying spectators were compiled by means of surveys and participants were split into categories based on their origin. The provincial Social Accounting Matrix is used to quantify the impact of this spending stimulus on production, income and job creation within the province.

The results show that Comrades Marathon contributes significantly to the provincial economy and that more than 600 jobs are dependent on the event.

It has a larger impact on the local economy than many similar sport events and this is attributed to the specialised nature of the event as well as its status as an ultra‐marathon.

This research is one of few on ultra‐marathons and the focus is on participants’ spending behaviour during the event.