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This study aims to explore and ranks the factors that might determine attitudes and intentions toward using autonomous vehicles (AVs).

The “technology acceptance model” (TAM) was extended by assessing the moderating influences of personal-related factors. Data were collected from 378 Vietnamese and analysed using a combination of “partial least squares” and the “adaptive neuro-fuzzy inference system” (ANFIS) technique.

The findings demonstrated the power of TAM in explaining the attitude and intention to use AVs. ANFIS enables ranking the importance of determinants and predicting the outcomes. Perceived ease of use and attitude were the most crucial drivers of attitude and intention to use AVs, respectively. Personal innovativeness negatively moderates the influence of perceived ease of use on attitude. Data privacy concerns moderate positively the impact of perceived usefulness on attitude. The moderating effect of price sensitivity was not supported.

These findings provide insights for policymakers and automobile companies' managers, designers and marketers on driving factors in making decisions to adopt AVs.

The study extends the AVs literature by illustrating the importance of personal-related factors, ranking the determinants of attitude and intention, illustrating the inter-relationships among AVs adoption factors and predicting individuals' attitudes and behaviours towards using AVs.

This study aims to study the sensitivity of nonlisted real estate investment companies’ accounting earnings to house prices. This study evaluates whether house price changes determined these companies’ return on equity (ROE) or if other factors influenced the industry’s profitability beyond house price growth.

The authors collected a ten-year sample with the aggregate ROE of Portugal’s real estate investment companies, split by regions, and data on house prices and the per capita gross domestic product as a control variable. The authors ran a national-level time series with the canonical cointegrating regression estimator, which is robust to a small sample size; the authors also performed a regression on regional-level panel data with the common correlated effects mean group estimator, thus allowing slope coefficient heterogeneity and controlling for cross-sectional dependence. The authors also ran ordinary least squares regressions as a means of comparison.

This study found that an increase in the house price is not translated into an increase in the aggregate ROE. The results are robust with a reduced survivorship-biased sample, meaning that even the best-succeeded real estate investment companies do not have their accounting ROE dependent on house price growth.

The sample size is small and specific to one country. This paper did not study the housing market structure to verify whether it operates under monopolistic competition, which could further explain the attained results.

Policy decision-makers should know that there are no excess profits in the real estate investment companies’ industry because of house price growth that could be subject to windfall taxes.

To the best of the authors’ knowledge, the connections between house prices and real estate investment companies’ accounting earnings have never been studied.

Product discounts have been widely applied in digital commerce as a method to attract and retain customers to purchase in China. Given that digital channels differ in their attributes, customers may behave differently when they respond to the same discount across channels. However, little attention has been paid to explore the heterogeneity of customer responses to discounts across channels. This study aims to fill in the gap by exploring how customers’ purchase responses to price discounts differ across digital channels.

This study applies a Poisson regression to an unbalanced data set of purchasing history from Chinese footwear brands with 3,510 customers in a two-year time window across the three digital channels (i.e. personal computer [PC], app and mobile website), with a correction for endogeneity by using the Gaussian copula method.

This paper finds that price discounts have the strongest positive effect on consumers’ purchase volumes on the PC channel, followed by the app channel, while discounts show the weakest impact in the mobile website channel. By so, this paper demonstrates that customers respond differently to online and mobile channels, and they also respond differently within mobile channels when they purchase products with price discounts.

This study is original in analyzing the difference in customers’ discount responses across digital channels, offering valuable contributions to existing research on multichannel marketing as well as mobile marketing and providing helpful insights for multichannel merchants to design digital discount strategies.

The Internet has changed consumer decision-making and influenced business behaviour. User-generated product information is abundant and readily available. This paper argues that user-generated content can be efficiently utilised for business intelligence using data science and develops an approach to demonstrate the methods and benefits of the different techniques.

Using Python Selenium, Beautiful Soup and various text mining approaches in R to access, retrieve and analyse user-generated content, we argue that (1) companies can extract information about the product attributes that matter most to consumers and (2) user-generated reviews enable the use of text mining results in combination with other demographic and statistical information (e.g. ratings) as an efficient input for competitive analysis.

The paper shows that combining different types of data (textual and numerical data) and applying and combining different methods can provide organisations with important business information and improve business performance.

The paper shows that combining different types of data (textual and numerical data) and applying and combining different methods can provide organisations with important business information and improve business performance.

The study makes several contributions to the marketing and management literature, mainly by illustrating the methodological advantages of text mining and accompanying statistical analysis, the different types of distilled information and their use in decision-making.

The purpose of this study is developing a new buy-back coordination contract in the symbiotic supply chain. In this new contract, the goal of the supply chain members (profit maximization) is realized.

This paper encourages the manufacturer to order products optimally by presenting a new buy-back coordination contract, and in return, the supplier undertakes to buy the unsold products from the manufacturer at the buy-back price. By using data-driven decision-making and multiobjective decision-making and considering the existing conditions in the symbiosis industry, a contract has been presented that guarantees the profits of supply chain members.

In this paper, it was found out how the authors can determine the order quantity, buy-back price and wholesale price in a symbiotic supply chain in such a way that it makes a profit for both the supplier and the manufacturer. In other words, how to determine these variables to encourage the manufacturer to order more quantity to the supplier so that both will benefit.

To the best of the authors’ knowledge, this is the first paper that defines a new buy-back coordination contract in the symbiotic supply chain by considering uncertain demand and a multiobjective model. Due to the importance of environmental issues, the sharing of resources by companies and organizations with each other, and the necessity of their cooperation, industries are moving toward a symbiosis industry.

This study aims to show the difference between the two types of oil price volatility resulting from either increases or decreases in oil prices and find evidence of the differential effect of oil price volatility on firms' environmental initiatives.

This paper examines how volatility in crude oil prices affect corporate environmental responsibility among US firms (excluding oil and gas producers) between 2002 and 2020, with a particular focus on the differential impact of oil price volatility.

The authors find that a one standard deviation increase in oil volatility resulting from positive changes in oil prices corresponds to a 12.7% decrease in environmental score, while the same increase in volatility from negative changes in oil prices leads to a 5.5% decrease in environmental score. Financial constraints are identified as a potential channel through which oil price volatility influences environmental activities. Specifically, a one standard deviation increase in oil volatility from positive price changes leads to an 18% decrease in environmental score for firms with high financial constraints, compared to an 8% decrease for firms with low financial constraints.

This study builds on the research of Phan et al. (2021) and Maghyereh and Abdoh (2020). Pan et al. reveal a negative association between oil price uncertainty and corporate social responsibility in the oil and gas sector, yet they overlook 1) the asymmetric impacts of oil price changes and sectoral disparities. Moreover, 2) their inclusion of a year-fixed effect undermines their findings’ reliability, as the oil price volatility variable remains constant across all firm-year observations, and including a year-fixed effect diminishes its explanatory power.

The study aims to estimate the short- and long-run effects of monetary policy on residential property prices in South Africa. Over the past decades, there has been a monetary policy shift, from targeting money supply and exchange rate to inflation. The shifts have affected residential property market dynamics.

The Johansen cointegration approach was used to estimate the effects of changes in monetary policy proxies on residential property prices using quarterly data from 1980 to 2022.

Mortgage finance and economic growth have a significant positive long-run effect on residential property prices. The consumer price index, the inflation targeting framework, interest rates and exchange rates have a significant negative long-run effect on residential property prices. The Granger causality test has depicted that exchange rate significantly influences residential property prices in the short run, and interest rates, inflation targeting framework, gross domestic product, money supply consumer price index and exchange rate can quickly return to equilibrium when they are in disequilibrium.

There are limited arguments whether the inflation targeting monetary policy framework in South Africa has prevented residential property market boom and bust scenarios. The study has found that the implementation of inflation targeting framework has successfully reduced booms in residential property prices in South Africa.

This study aims to investigate how environmentalism in photovoltaic (PV) substitution and nationalism in PV rivalry with the USA are associated with the trade-offs made by young consumers in Lanzhou when selecting Chinese brand portable solar power banks.

In this study, the choice-based conjoint survey was conducted to investigate mobile power bank consumers aged 18–28 in Lanzhou urban districts. A total of 2,004 valid questionnaires were collected and 1,813 sample was used in analyses. Logit and ordinary least squares regression models were run for empirical analyses.

The research results show that consumers tend to sacrifice certain levels of affordability for moderate technological capability, a reputable brand, better portability and advanced charging functions or sacrifice certain levels of technological capabilities for a moderate price. Consumers with stronger environmentalism in PV substitution tend to prioritize median price levels, larger battery capacity and better portability, while being less sensitive to brand and showing less preference for advanced charging functions. Consumers with stronger nationalism in PV rivalry tend to prioritize reasonably higher prices, bigger brands, enhanced portability, more solar panels and advanced charging functions.

This research sheds light on consumer trade-offs between price, brand, portability, technological capability and charging function. It also explores how environmentalism and nationalism sentiments are associated with consumer decision-making. These insights carry valuable policy implications for fostering product innovation, supporting brand-building initiatives for small and medium-size enterprises, promoting market competition and preventing the weaponization of consumer nationalism.

As an emerging solar power product, the portable solar power bank holds significant potential for widespread adoption as a means to drive energy transition. Within the current context, two notable sentiments have surfaced: environmentalism, which pertains to the adoption of PV technology as a substitute for conventional energy sources and nationalism, which manifests in the PV rivalry between China and the USA. This research aims to investigate consumer preference related to this emerging product, specifically focusing on its relationship with these two sentiments.

This paper investigates the effect of political uncertainty on the decision to cross-list in the United States (US).

To reach our paper aim, we use a sample of 589 non-US firms cross-listed in the US for the period from 2000 to 2019. We perform logit regression and use several political uncertainty proxies, including US election presidential years, political voting margin and the political uncertainty index from Baker et al. (2002), as a continuous measure of general political condition (Francis et al., 2021).

We find the following results. Non-US firms are less likely to cross-list their shares when US political uncertainty is high. We also find that the decision to cross-list is driven by price informativeness as a channel that can explain the role of political uncertainty. Our results are robust to the endogeneity concern. In addition, we find that political administration (Democrats vs Republicans) significantly affects the decision to cross-list. More particularly, we show that firms are more likely to cross-list their shares in the US when Democrats win the elections. Moreover, we find that cross-listed firms exhibit lower valuation compared to their non-cross-listed peers when US political uncertainty is high.

Using a unified framework of non-US firms cross-listed in the US, this paper contributes to different strands of the literature. Our first main contribution adds to the literature on cross-listing by providing, in our knowledge, the first evidence regarding the relation between cross-listing and political uncertainty. We add to the existing literature by showing that US political uncertainty significantly determines the decision to cross-list and value creation for cross-listed firms. Whether and how managers alter their strategic decision behavior in such settings is less clear. Hence, our paper contributes to the literature by documenting how political uncertainty impacts cross-listing decision and shapes management guidance decisions. Second, this study joins a growing body of literature that examines the real impact of economic policy uncertainty (EPU) on economic outcomes. We provide empirical evidence suggesting that cross-listed firms exhibit lower valuation during period of high political uncertainty due to decreased price informativeness.

This paper aims to illuminate a mechanism of positive word of mouth (PWOM) toward mobile banking (m-banking) by extending the fairness theory (FAT) with satisfaction (SAT) and value-in-use (VIU).

A research model is examined by obtaining data from a web-based survey of 398 respondents who have used m-banking in Vietnam. AMOS 21.0 software is applied to analyze the hypothetical model with covariance-based structural equation modeling.

The results reveal that price fairness (PRI) is of primary importance of fairness perception (FAI) in m-banking, followed by informative fairness, procedural fairness, interactional fairness and distributive fairness. Furthermore, SAT and VIU play a vital role in developing PWOM. In addition, FAI exerts a positive influence on SAT and VIU.

This study would help practitioners have the deep insights into affective and behavioral responses among customers and develop effective marketing trajectories to spur SAT, VIU and PWOM toward m-banking. The results hint that marketers may be tempted to simultaneously focus on the important dimensions of FAIs as they are indispensable to derive SAT and VIU from a customer perspective. This research assists governments and banks to adopt training programs and policies that will incite customer behaviors toward m-banking.

The value of the work lies in the combination between FAT with SAT to enlighten FAI and PWOM toward m-banking in a developing country. To the best of the authors’ knowledge, this work is among the first to consider VIU that motivates PWOM. Moreover, this study links PRI to FAI to understand PWOM among Vietnamese customers.