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This study aims to examine the impact of consumer risk appetite, biases (specifically negative recency bias), and the importance of reviews in enhancing information quality. By analyzing these variables, the authors gain insights into their role in enriching the overall information spectrum available to consumers. The findings contribute to a better understanding of how risk appetite, biases and consumer reviews shape the quality of information.

The questionnaire assessed the relationship between dependent and independent variables by asking participants to rate their experiences in relevant scenarios. Variance-based structural equation modeling with the ADANCO program was used to examine the data. ADANCO software is used explicitly for variance-based structural equation modeling. To evaluate research models and test hypotheses, partial least square path modeling is used.

The efficiency of reviews and ratings is greatly influenced by consumer risk appetite. Businesses should focus on clients who are willing to take risks and balance positive and negative feedback. It is essential to comprehend how customers understand reviews. Credibility is increased by taking biases into account and encouraging unbiased criticism. Promoting thorough reviews strengthens influence. Monitoring and making use of these elements improve online reputation and commercial success.

The research has limitations due to the simplicity of the attributes taken into account and the requirement for a larger sample size. Overcoming barriers to promote consistent client feedback is essential, and tailored emails can help with assessment generation. Increased customer participation in writing evaluations can be achieved by removing obstacles and highlighting the advantages of participation.

Businesses and buyers rely on this “organically” generated content as the basis of their promotional strategy and buying decisions. Most of the research is related to consumer reviews, their behavior and the importance of social validation. However, some critical aspects related to this need further investigation.

The purpose of this study is to investigate the significance and impact of strategic knowledge management (SKM) practices and organisational change capacity (OCC) in improving strategic thinking and strategic orientation in small and medium-sized enterprises (SMEs) and their contribution in overall improvement of entrepreneurial performance.

Quantitative research methodology using partial least square structural equation modelling with data of 296 sample from the target group as managers and owners from various SMEs in the UK has been used in the study.

The findings suggest that SMEs that invest in SKM and OCC are more proficient at adjusting to fluctuations in the business landscape and develop effective strategies that lead to improved entrepreneurial performance. The study provides evidence that SKM encompasses more than just the acquisition and use of information. It also involves the establishment of a learning and innovation culture that facilitates strategic thinking and direction. Similarly, OCC is not just about implementing change but also about developing the agility and flexibility to adapt to market changes, consumer demands and technology.

According to the research, SMEs may boost their entrepreneurial performance and keep a competitive advantage in the modern, dynamic business environment by investing in SKM and OCC. The capacity of SMEs to implement SKM and organisational change should be encouraged and supported by policymakers and practitioners, who should also offer the necessary tools and assistance to do so.

This study offers a valuable addition to the previously published works on SKM and OCC within SMEs. It offers empirical data that highlights the significance of SKM and OCC in fostering strategic thinking, strategic orientation and ultimately, boosting entrepreneurial performance. The study also highlights the challenges faced by SMEs in implementing SKM and OCC and provides recommendations for overcoming these challenges.

The aim of this study reported in this paper was to explore the application of operational excellence methodologies in a global context.

A qualitative interview approach was used to understand the current state, benefits, challenges, success factors, tools and techniques of operational excellence methodology implementation with relevance to logistics companies worldwide. About 16 interviews were undertaken with practitioners working in leading companies and with leading academics in Asia, Europe, Africa, North America, South America and Australia.

The findings show that operational excellence methodologies including Lean, Six Sigma, Lean Six Sigma and Agile can apply in logistics firms to improve operations and productivity and save costs. Top management support and involvement play an important role in the success of operational excellence projects in the logistics service.

The findings will be of interest to top and middle managers and logistics practitioners, with a dual aim of improving logistics performance and saving costs.

The present study has been one of the first global study attempts to explore the implementation of operational excellence methodologies in the logistics sectors.

The purpose of this study is to carry out a comprehensive systematic review of lean implementation frameworks and roadmaps developed over the past decade and report the key findings along with the limitations and the way forward.

A systematic review methodology proposed by Tranfield (2003), was followed to identify the relevant works on the research topic. Articles were searched using a set of inclusion criteria in various databases including Google Scholar, Web of Science and Science Direct over a period of 30 years.

The high failure rate of lean system implementation, reaching a range between 70 and 90% in almost all industries, is a matter of concern. This failure rate is still high even though numerous frameworks and roadmap models exist to streamline lean implementation. There is no standard framework or roadmap identified in the literature and many organisations are implementing lean in their unique ways. However, it would be desirable to develop a practical and systematic roadmap on lean-looking into the cultural and leadership dimensions rather than focusing on a set of tools. Moreover, most frameworks and roadmaps lack the sustenance aspects of lean implementation.

This research only identifies the fundamental gaps with the existing frameworks and roadmaps on lean implementation. The next phase of the research is to develop a roadmap and validate it with a number of organisations in different cultural contexts and leadership styles.

The authors argue that this is one of the most comprehensive systematic review on lean frameworks and roadmaps, ever produced in the literature to date.

This paper aims to explain how Web 2.0, social connectedness online, has created incredible new business options. This research’s primary goal is to help businesses use these resources more effectively and perform better.

Variance-based structural equation modeling with the ADANCO program was used to examine the data. ADANCO software is used explicitly for variance-based structural equation modeling. To evaluate research models and test hypotheses, partial least square path modeling is used.

Theories encompassing social support and related approaches to “word of mouth” online, electronic purchasing and virtual communities mediated by technological platforms are the foundational frameworks for this research piece. It then produces a statistical model that enables users to predict how social commerce (s-commerce) building blocks, including forums, communities, ratings and reviews and recommendations, assist businesses in introducing innovative strategies to win in the digital markets. The results necessarily focus on trust, an essential component of e-commerce. Reciprocally, the study reverses engineer’s trust through the constructs of this moment mentioned.

The present study describes the scope of empirical testing and validation of this framework and assists practitioners in further strengthening s-commerce strategy, an emerging and essential platform in the e-commerce industry.

Research highlights the dearth of current analysis in such conceptual domains while generating novel research insights aimed at e-commerce and digital business. From the viewpoint of potential and recurring customers who interact with online communities and product offerings, the study captures the essence of human interactions, often known as trade relationships, online.

The study aims to delve into the influence of tourism on the happiness of city residents, grounded in the overarching concept of livability. It posits that prioritizing residents’ happiness is crucial for effectively addressing cities’ challenges in balancing development and distinctiveness. The study pursues three primary objectives: first, establishing a potential correlation between city tourism and residents’ happiness; second, examining the contributing factors to this correlation and third, identifying potential mediators that influence the connection between tourism development and residents’ happiness.

Using a quantitative single-case design and partial least square analysis, the study underscores the intricate nature of various tourism development components. It specifically explores the roles of cognitive flexibility and social comparison in shaping the relationship between city tourism and happiness.

The findings make a distinctive contribution by revealing that not all tourism domains contribute positively to happiness. Furthermore, it sheds light on how tourism development impacts the emotional and cognitive dimensions of happiness, emphasizing the adverse effects of inequality and feelings of insecurity.

The study acknowledges certain constraints, including its employment of a cross-sectional design, the issue of generalizability, potential sampling bias and the reliance on subjective measurements when evaluating constructs like happiness and satisfaction with life. Using self-reported data introduces susceptibility to social desirability bias and individual perceptual differences, potentially resulting in measurement inaccuracies. Nevertheless, despite these limitations, the study’s findings offer valuable insights that contribute to both theoretical advancement and the realm of urban management.

The findings elucidated through the mediation analyses conducted for hypotheses three to seven shed light on the significant roles played by mental adaptation and social comparison mechanisms in shaping individuals’ happiness. These insights substantially enhance our understanding of this field. Particularly, the dimensions of social and environmental impact within tourism appear to counterbalance the positive effects stemming from the economic and cultural aspects. This suggests a scenario where an excessive focus on tourism development could potentially undermine the overall livability of the city. These outcomes further indicate the necessity for proactive interventions by destination managers. Their efforts should be directed toward enhancing the environmental and social domains, aiming to reinvigorate the sense of community among residents, which appears to be gradually waning.

The outcomes of this study emphasize the utmost significance of prioritizing residents’ happiness above mere considerations of economic growth when formulating efficacious strategies for tourism. By concentrating on the happiness of the local population, a harmonious resonance is established with Sustainable Development Goal 11, which advocates for the creation of habitable cities founded upon the principle that “a city that is not good for its citizens is not good for tourists.” This alignment underscores the interconnected nature of residents’ happiness and the sustainable development of tourism. Moreover, residents’ happiness plays a pivotal role in addressing the challenge that cities face in harmonizing growth and their uniqueness, ensuring competitiveness and sustainability.

The research underscores the need for a people-oriented perspective in urban planning and tourism development initiatives. The study identifies diverse factors impacting residents’ happiness in city tourism, highlighting the complex interplay of environmental, cultural and socioeconomic elements. It emphasizes income’s role but underscores nonmaterial factors and individual preferences. Overall, the study offers timely and valuable insights into the intricate connection between tourism development, residents’ happiness, living conditions and human perception, guiding urban planners and stakeholders.

The tourism multiplier effect (TME) is the total economic impact of tourism demand, representing the linkages between tourism and other businesses in an area. However, study about it is limited in Indonesia, especially at the provincial level and after the COVID-19 crisis. This study aims to estimate the TME in all provinces of Indonesia, test its differences in priority and non-priority areas before and after the COVID-19 crisis, analyze its spatial distribution and examine the determinant factor of TME

This study applies an input-output model to measure the TME of all provinces in Indonesia, an independent sample t-test to examine the similarity of TME in priority and nonpriority areas, a paired sample t-test to examine the similarity of it before and after the COVID-19 crisis, and spatial analysis to check its spatial relationship.

The result shows that regional TME ranges from 1.25 to 2.05 in 2019, which changed slightly over time. The empirical result shows the TME difference before and after the COVID-19 crisis, and there is a spatial correlation in terms of TME with the hot spots are clustered in the eastern region of Indonesia, However, there was a slight change in the position of hot spots during the COVID-19 crisis. Moreover, the spatial model shows that value-added and employment in agriculture, manufacturing, trade and transportation affect the size of TME.

This study contributes to the academic literature by providing the first estimate of the TME at the provincial level in Indonesia, comparing the it in priority and non-priority areas before and after the COVID-19 crisis, and mapping its spatial distribution.

This project aims to examine how entrepreneurial orientation and succession planning among Palestinian family businesses positively affects their associated growth potential, considering the mediating role of innovation and the moderation effect of geographic location. Leveraging ethnic entrepreneurship theory, the authors compare these types of enterprises in the USA with their counterparts in Palestine.

This cross-sectional quantitative research analyzes data collected from October through December 2022. 180 Palestinian family-owned firms completed a survey; 90 companies were located in Palestine, while the other 90 were in the USA. Structural equation modeling analysis was conducted using Smart-PLS4. The interrelations of the conceptual framework were examined via path analysis and bootstrapping techniques.

The authors found a statistically significant positive effect of entrepreneurial orientation on Palestinian family business growth; the authors’ results concurrently indicated succession planning did not affect growth within the authors’ selected population. The authors also discovered innovation mediates the relationship between orientation and growth, and business location appears to moderate this relationship. The authors’ research indicates geography appears to favor Palestinian family-owned companies in the USA, where the authors found opportunity-driven immigrant entrepreneurs benefit from the structured business systems in a highly-developed country.

Given the current situation in Palestine, it is essential to understand the potential contribution that Palestinian family-owned businesses globally can make to reconstruct the country’s local economy. The next few years will be critical in figuring out how innovative thinking can boost the region’s recovery and increase Palestinian-based family companies’ ability to engage in sustainable entrepreneurship with reinvestment support from its diaspora. Therefore, it is important to have research that identifies factors that could improve these businesses’ continued performance and growth potential. This study also aids in further understanding the defining characteristics of Palestinian-owned family firms, enhancing general theories related to entrepreneurship among ethnic and diasporic groups.

The purpose of this research is to primarily understand how crypto traders can use the Bitcoin as a hedge or safe haven asset to reduce their losses from crypto trading. The study also aims to provide insights to crypto investors (portfolio managers) who wish to maintain a crypto portfolio for the medium term and can use the Bitcoin to minimize their losses. The findings of this research can also be used by policymakers and regulators for accommodating the Bitcoin as a medium of exchange, considering its safe haven nature.

This study applies the cross-quantilogram (CQ) approach introduced by Han et al. (2016) to examine the safe-haven property of the Bitcoin against the other selected crypto assets. This method is robust for estimating bivariate volatility spillover between two markets given unusual distributions and extreme observations. The CQ method is capable of calculating the magnitude of the shock from one market to another under different quantiles. Additionally, this method is suitable for fat-tailed distributions. Finally, the method allows anticipating long lags to evaluate the strength of the relationship between two variables in terms of durations and directions simultaneously.

The Bitcoin acts as a weak safe haven asset for a majority of new crypto assets for the entire study period. These results hold even during greed and fear sentiments in the crypto market. The Bitcoin has the ability to protect crypto assets from sharp downturns in the crypto market and hence gives crypto traders some respite when trading in a highly volatile asset class.

This study is the first attempt to show how the Bitcoin can act as a true matriarch/patriarch for crypto assets and protect them during market turmoil. This study presents a clear and concise representation of this relationship via heatmaps constructed from CQ analysis, depicting the quantile dependence association between the Bitcoin and other crypto assets. The uniqueness of this study also lies in the fact that it assesses the protective properties of the Bitcoin not only for the entire sample period but also specifically during periods of greed and fear in the crypto market.

This paper aims to identify the impacts of sociodemographic covariates on behavioural biases (BB) scores; the psychometric evidence of the BB measurement instruments; and the main BB that influences the decision-making of individual investors.

Papers were retrieved through search using keywords in ten databases. This systematic review is based on 69 peer-reviewed papers, most of which were published between 2017 and 2021. The relevance of the included papers was assessed through the analysis of statistical/psychometric methods used, and content analysis of the BB literature and its sociodemographic correlations.

Overconfidence is higher in men and not related to age. There was no consensus regarding the relationship between BB and other sociodemographic variables. Most measuring instruments are ad hoc, showing ≤ 4 types of psychometric evidence and assessing ≤ 9 BB. Therefore, the findings demonstrate that there is no gold standard instrument for measuring investors’ BB. Furthermore, 37 BB were cited as influencers of individual investors’ decision-making and overconfidence, herding, anchoring, representativeness and loss aversion were the most prevalent.

Considering that very few systematic reviews have been published in the behavioural finance area, this paper highlights the current state-of-the-art and identifies significant gaps in the literature that can be explored by further research.

To the best of the authors’ knowledge, this is the first systematic review that analyses the psychometric properties of instruments used for individual investors BB assessment.