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The purpose of this study is to explore how past and future temporal focus of CEOs in the hospitality industry influence their intention to invest in metaverse technology and the underlying mechanism under boundary conditions of perceived competitive pressure.

This multi-informant study collected data over three waves from a sample of 235 CEOs and their subordinates in India’s hospitality industry. A PLS-SEM was applied to the study data. Further, the study also used phenomenological interviews to capture CEOs’ perspectives on the study’s conceptual model.

Findings suggest that the past temporal focus of CEOs decreases technology orientation, and future temporal focus increases the technology orientation of firms, consequently impacting the intention to invest in the metaverse. CEOs’ perceived competitive pressure moderates the mediating relationship, such that the negative impact of past temporal focus on technology orientation is decreased and that of future temporal focus on the CEO is increased.

By exploring the role of a CEO’s past and future temporal focus on influencing technology orientation and, hence, adoption of new technology, the study extends upper-echelon theory to the field of metaverse adoption in the hospitality industry and responds to scholars’ calls to explore the industry’s technology adoption from the lens of the upper echelon.

The study has significant implications for the success of the adoption of metaverse technology in the hospitality industry. Findings imply that the board members should encourage CEOs to have future temporal focus.

The study provides novel insights into the adoption of metaverse technology by the hospitality industry, where CEO attributes such as their temporal focus influence intention to invest in metaverse.

The relationship between variation in time perspectives and collaborative performance is scarcely explored, and even less is known about the respective mechanisms that lead to varying task performance. Thus, we aim to further the literature on time perspectives and collaborative performance, shedding light on the underlying behavioral patterns.

We report a quasi-experiment analyzing the impact of past, present and future orientation variation in dyads (N = 76) on their quantitative and qualitative performance when confronted with a simple incentivized creative task with constraints. Subsequently, we offer a qualitative analysis of comments given by the participants after the task on the collaboration.

Results indicate that a dyad's elevation of past orientation and diversity in future orientation negatively affect collaborative performance. At the same time, there is a positive effect of elevation of future orientation. The positive effect is driven by clear communication and agreement during the task, while the negative effect arises from work sharing and complementation.

This study provides insights for organizations on composing individuals regarding their temporal focus for collaborative tasks that should be executed rapidly and require creative solutions.

Our study distinguishes by considering the composition of past, present and future time perspectives in dyads and focuses on a creative task setting. Moreover, we explore the mechanisms in the dyads with a substantial elevation of/diversity in future orientation, leading to their stronger/weaker performance.

This study aims to answer the question of what characterizes organizations with future-potential, and with the help of a model introduced in this study, the authors propose what interventions can be identified and which improvements need to be made in traditional organizations so that they meet the requirements of future-potentiality.

A systematic literature review was conducted to identify management interventions. Citation and co-word analyses were also performed. Content analysis of 311 journal articles from the past five years was performed taking into account relevant keywords, and disciplinary narrowing was also applied. These articles were used to identify knowledge that could be used to suggest micro-, meso- and macro-level changes.

To develop the future potential of organizations, three organizational levels must be separated. The first is the micro level of relations between leaders and employees, where equity is a key value for future potentiality. It should be emphasized that not all employees’ organizational commitment is equally important for organizations with future potential, and leaders should strengthen their commitment according to individual needs and opportunities. The second is the meso level, where the decisive value is organizational moderation, and this suggests that a careful and restrained development is needed both in satisfying consumer needs and in innovation. The third is the macro level, where the defining value is responsibility and sustainability, which are necessary for achieving a state where the active development of national culture becomes possible.

Contrary to the authors’ expectations, it has been found that there are only a few studies dealing with change management for the purpose of achieving a future potential mode of organizational operation; thus, the results can be considered new and will contribute to the development of a cross-section of change management and future studies.

This study explores the direct and indirect effects of two components of food-related consideration of future consequences (CFCs), including CFC-Immediate and CFC-Future, on sustainable food attitudes (SFA) via food-related health and environmental concerns.

Partial least squares structural equation modeling technique was used on a data set of 664 Vietnamese consumers collected in Central Vietnam to evaluate measurement and structural models.

CFC-Immediate and CFC-Future as well as health and environmental concerns have positive effects on SFA. Indirect effects of CFC-Immediate on SFA via health concerns and CFC-Future on SFA via health/environmental concerns are also discovered.

Future studies should examine the impact of environmental values on CFCs, forming a more comprehensive understanding regarding the relationship between the two variables, especially by including a wider range of sustainable food types to gain diverse knowledge about sustainable food consumption.

Communicative messages should focus on both health and environmental concerns while emphasizing both immediate and more distant outcomes of sustainable food (fish) consumption for individuals with different dominant temporal orientations.

This study sheds light on the direct and hierarchical relationships among food-related CFCs, health and environmental concerns and SFA to better understand the intricate psychological process of sustainable food consumption.

Currently, foresight studies have been adapted to incorporate new techniques based on big data and machine learning (BDML), which has led to new approaches and conceptual changes regarding uncertainty and how to prospect future. The purpose of this study is to explore the effects of BDML on foresight practice and on conceptual changes in uncertainty.

The methodology is twofold: a bibliometric analysis of BDML-supported foresight studies collected from Scopus up to 2021 and a survey analysis with 479 foresight experts to gather opinions and expectations from academics and practitioners related to BDML in foresight studies. These approaches provide a comprehensive understanding of the current landscape and future paths of BDML-supported foresight research, using quantitative analysis of literature and qualitative input from experts in the field, and discuss potential theoretical changes related to uncertainty.

It is still incipient but increasing the number of prospective studies that use BDML techniques, which are often integrated into traditional foresight methodologies. Although it is expected that BDML will boost data analysis, there are concerns regarding possible biased results. Data literacy will be required from the foresight team to leverage the potential and mitigate risks. The article also discusses the extent to which BDML is expected to affect uncertainty, both theoretically and in foresight practice.

This study contributes to the conceptual debate on decision-making under uncertainty and raises public understanding on the opportunities and challenges of using BDML for foresight and decision-making.

Linguists classify the world’s languages into two types: futured and futureless. Futured languages (e.g. French) require speakers to grammatically mark future events, a construction that is optional in futureless languages such as German. This treatise examines whether the grammatical structure of the predominant language in a given country explains firms’ propensity to engage in controversial marketing and environmental management practices. This is expected to happen because a speaker’s future time perspective and temporal discounting vary depending on the type of language used.

The sample period for this research was from 2001 to 2020. The sample of the study consists of 5,275 firms representing 47 countries. The sample is comprised of firms from 29 countries where the predominant language is a strong future time reference (FTR) language and 18 countries with a weak-FTR language. The maximum number of firm-country-year observations of the study was 39,956. This study employed multi-level mixed effects modelling as well as other relevant estimation techniques such as random effect panel regression, ordinary least square regression and two-stage least square regression.

This research empirically demonstrates that firms based in countries where the predominant language requires speakers to grammatically differentiate between the present and the future – known as strong-FTR or futured languages – engage more often in controversial marketing- and environment-related practices than those located in countries where the predominant language does not necessarily require grammatical differentiation between the present and the future (known as weak-FTR or futureless languages).

The findings are important for managers of firms with foreign subsidiary operations: top management teams of such firms need to be aware that their foreign subsidiaries’ propensity to engage in controversial marketing and environmental management practices varies depending on the predominant language those subsidiaries use. Also, firms located in countries with weak-FTR languages need to be more rigorous in their selection process when considering forming a joint venture or acquiring a firm in countries with strong-FTR languages.

The current research enriches the burgeoning body of literature on the effect of language on corporate decision-making. It extends the body of knowledge on the impact of language structure on firms’ inclination to engage in controversial marketing and environmental management practices.

This study aims to assess the effect of material internal control weaknesses (MICW) on the relationship between ownership structures and future-oriented disclosure.

A total number of 197 firms were assessed in this study during 2014–2021. Two measures were used for MICW. First, the number of existing MICW was assessed in independent auditors’ reports. In Iran, the maximum number of weaknesses is 13. Second, the scoring (0 or 1) method was used as a dummy variable, 1 for a firm with MICW and otherwise 0. Moreover, the scoring (0 or 1) method was used to measure the level of future-oriented disclosure of 13 indicators.

The findings showed that institutional ownership and managerial ownership have a significant positive effect on future-oriented disclosure, whereas the MICW have a significant negative effect on future-oriented disclosure. In addition, MICW played a moderator role in the relationship between ownership structures and future-oriented disclosure. The robustness checks confirmed the results.

As the studies conducted on future-oriented disclosure and the contributing factors are limited, and also the effect of MICW on future-oriented disclosure is not explored, the present findings can show the importance of the study, and fill the gap in this field. This study offers theoretical and practical implications to drive policymakers and managers to the effectiveness of internal control and future-oriented transparency.

Integrating artificial intelligence and quantitative investment has given birth to various agricultural futures price prediction models suitable for nonlinear and non-stationary data. However, traditional models have limitations in testing the spatial transmission relationship in time series, and the actual prediction effect is restricted by the inability to obtain the prices of other variable factors in the future.

To explore the impact of spatiotemporal factors on agricultural prices and achieve the best prediction effect, the authors innovatively propose a price prediction method for China's soybean and palm oil futures prices. First, an improved Granger Causality Test was adopted to explore the spatial transmission relationship in the data; second, the Seasonal and Trend decomposition using Loess model (STL) was employed to decompose the price; then, the Apriori algorithm was applied to test the time spillover effect between data, and CRITIC was used to extract essential features; finally, the N-Beats model was selected as the prediction model for futures prices.

Using the Apriori and STL algorithms, the authors found a spillover effect in agricultural prices, and past trends and seasonal data will impact future prices. Using the improved Granger causality test method to analyze the unidirectional causality relationship between the prices, the authors obtained a spatial effect among the agricultural product prices. By comparison, the N-Beats model based on the spatiotemporal factors shows excellent prediction effects on different prices.

This paper addressed the problem that traditional models can only predict the current prices of different agricultural products on the same date, and traditional spatial models cannot test the characteristics of time series. This result is beneficial to the sustainable development of agriculture and provides necessary numerical and technical support to ensure national agricultural security.

In recent years, there has been a growing trend of individuals willingly opting for employment positions that do not fully use their education, skills and abilities, a phenomenon known as voluntary overqualification. This study aims to investigate the factors that influence and the formation mechanism of this emerging phenomenon. Drawing upon social cognition theory, this study explores the relationship between work values and voluntary overqualification while also examining the mediating role of the future work self and the moderating role of perceived marketability.

This study used a longitudinal approach, collecting data through questionnaires administered at multiple time points. The sample consisted of 607 employees from various departments of five Chinese companies. Regression analysis using the PROCESS macro in SPSS was used to test the research hypotheses.

The results indicate a positive relationship between employees’ work values and voluntary overqualification. Furthermore, this relationship is mediated by the future work self. Additionally, perceived marketability plays a moderating intermediary role in the whole model.

This study contributes to the overqualification literature by introducing a novel type of overqualification and unveiling the mechanism by which work values influence voluntary overqualification. The findings provide insights for understanding and managing employees who are voluntarily overqualified.

This paper aims to investigate whether the establishment of commodity futures can effectively hedge systemic risk in the spot network, given the context of financialization in the commodity futures market.

Utilizing industry association data from the Chinese commodity market, the authors identify systemically important commodities based on their importance in the production process using multiple graph analysis methods. Then the authors analyze the effect of listing futures on the systemic risk in the spot market with the staggered difference-in-differences (DID) method.

The findings suggest that futures contracts help reduce systemic risks in the underlying spot network. Systemic risk for a commodity will decrease by approximately 5.7% with the introduction of each corresponding futures contract, since the hedging function of futures reduces the timing behavior of firms in the spot market. Establishing futures contracts for upstream commodities lowers systemic risks for downstream commodities. Energy commodities, such as crude oil and coal, have higher systemic importance, with the energy sector dominating systemic importance, while some chemical commodities also have considerable systemic importance. Meanwhile, the shortest transmission path for risk propagation is composed of the energy industry, chemical industry, agriculture/metal industry and final products.

The paper provides the following policy insights: (1) The role of futures contracts is still positive, and future contracts should be established upstream and at more systemically important nodes in the spot production chain. (2) More attention should be paid to the chemical industry chain, as some chemical commodities are systemically important but do not have corresponding futures contracts. (3) The risk source of the commodity spot market network is the energy industry, and therefore, energy-related commodities should continue to be closely monitored.