Search results

As an alternative to hiring financial specialists or investment consultants, robo-advisors offer financially automated investment services. This study aims to investigate how robo-advisors' service attributes, risk attitude and financial self-efficacy influence customers' choice preferences of adopting robo-advisors.

Two hundred fifty-one online surveys were used to collect data, and choice-based conjoint analysis was conducted.

Results show that increasing annual fees negatively impact customers' choice preferences. Promotion, general investment education and additional human assistance have a positive impact. Furthermore, risk-seeking and risk-averse customers require more human assistance than risk-neutral customer and customers with high levels of financial self-efficacy prefer more general investment education and additional human assistance than those with lower levels. In addition, customers in the older age group prefer promotion, general investment education and additional human assistance, while wealthy customers prefer lower annual fees, higher general investment education and more additional human assistance compared to middle-class and low-income groups.

This study contributes to robo-advisor providers to provide appropriate service attributes for each customer group.

Smart farming technologies (SFTs) can increase yields and reduce the environmental impacts of farming by improving the efficient use of inputs. This paper is to estimate farmers' preference and willingness to pay (WTP) for a well-defined SFT, smart drip irrigation (SDI) technology.

This study conducted a discrete choice experiment (DCE) among 1,300 maize farmers in North China to understand their WTP for various functions of SDI using mixed logit (MIXL) models.

The results show that farmers have a strong preference for SDI in general and its specific functions of smart sensing and smart control. However, farmers do not have a preference for the function of region-level agronomic planning. Farmers' preferences for different functions of SDI are heterogeneous. Their preference was significantly associated with their education, experience of being village cadres and using computers, household income and holding of land and machines. Further analysis show that farmers' WTP for functions facilitated by hardware is close to the estimated prices, whereas their WTP for functions wholly or partially facilitated by software is substantially lower than the estimated prices.

Findings from the empirical study lead to policy implications for enhancing the design of SFTs by integrating software and hardware and optimizing agricultural extension strategies for SFTs with digital techniques such as videos.

This study provides initial insights into understanding farmers' preferences and WTP for specific functions of SFTs with a DCE.

The contradiction and conflict between grassland conservation and economic development are prominent in the Qinghai–Tibet Plateau (QTP) with its fragile environment and ecosystem. How to promote sustainable grazing in the plateau without hurting the economic welfare of local residents is a key challenge facing the Chinese government. This study explores the potential of market-based grassland conservation policies by evaluating consumer preferences and valuations for forage–livestock balance certification labeled yak products.

This study adopts a choice experiment with four attributes of yak meat, including forage–livestock balance certification, feeding type, age at slaughter and price. A sample size of 2,999 respondents from Beijing, Shanghai, Wuhan, Guangzhou and Chengdu was collected by a professional online survey company.

The result reveals that urban Chinese consumers are willing to pay highest price premiums for forage–livestock balance certified yak meat, followed by grass-fed claim labeled meat. Consumers on average place negative valuations for grain-fed claims, meat from yak slaughtered above 2 and 4 years old. Heterogeneous analysis indicates that individuals who are female, younger, married, and better educated, and with above median income, Tibet travel or yak consumption experience, are more receptive to the forage–livestock balance certification.

It is the first study to explore demand-driven mechanisms for grassland conservation by focusing on consumer valuation for the forage–livestock balance certification.

The scenario of clean wines is rather articulated, and many consumers perceive diverse types of wines as a homogeneous category, not actually related with the true characteristics of the products. Additionally, most often, individuals turning to these wines are driven either by health concerns or environmental consciousness or by curiosity. The purpose of this study is to understand whether there are differences in monetary preferences for four distinct clean labels and to analyze the level of interest of diverse market segments of regular wine consumers for this specific category of wines.

This study applied a computer-assisted Web interviewing technique. A survey was administrated in mid-September 2021 by a professional panel provider to a quota-based sample (N = 1,113) of Italian regular wine consumers. Individual willingness-to-pay (WTP) for red wines carrying different claims (organic, natural, low-sulfites and no-additives) and a conventional counterpart were collected. Clean wines’ WTP were subsequently used for hierarchical clustering.

Among the clean labels presented, respondents reported a higher WTP for organic wine. Cluster analysis yielded three actionable segments: “Easygoing wine enjoyers” (63.7%), “Convenience drinkers” (13.4%) and “Clean wine passionate” (23%). The latter reveals high preferences for all the investigated clean wines.

Sociodemographics and wine-related characteristics of regular wine consumers particularly interested in clean wines are depicted in this study; further analysis should delve on the core drivers of individual preferences.

Wineries should consider the heterogeneous interest of regular wine consumers for clean wines, developing tailored strategies for specific market segments. Stakeholders interested in safeguarding consumers should carefully monitor the landscape of different clean claims entering the wine market.

To the best of the authors’ knowledge, no previous study has simultaneously analyzed regular wine consumers’ preferences for the four types of clean labels.

This study explores whether and how four main factors of short-branded video content (content matching, information relevance, storytelling and emotionality) facilitate consumer engagement (likes, comments and shares), as well as the moderating effect of the release time (morning, afternoon and evening) in such relationships.

This study uses Python to write programs to crawl relevant data information, such as consumer engagement and short video release time. It combines coding methods to empirically analyze the impact of short-branded video content characteristics on consumer engagement. A total of 10,240 Weibo short videos (total duration: 238.645 h) from 122 well-known brands are utilized as research objects.

Empirical results show that the content characteristics of short videos significantly affected consumer engagement. Furthermore, the release time of videos significantly moderated the relationship between the emotionality of short videos and consumer engagement. Content released in the morning enhanced the positive impact of warmth, excitement and joy on consumer engagement, compared to that released in the afternoon.

The findings provide new insights for the dissemination of products and brand culture through short videos. The authors suggest that enterprises that use brand videos consider content matching, information relevance, storytelling and emotionality in their design.

From a broader perspective, this study constructs a new method for comprehensively evaluating short-branded video content, based on four dimensions (content matching, information relevance, storytelling and emotionality) and explores the value of these dimensions for creating social media marketing success, such as via consumer engagement.

Platform certification constitutes an effective mechanism for managing the lemon problem concerning food e-commerce. This work aims to evaluate the market effect of platform certification and analyzes its correction mechanism for lemon problem combined with reputation mechanism.

Utilizing the Gold Seller certification of Taobao.com to serve as an illustration, the authors conducted an empirical study based on the sales data of hairy crabs among 2,239 sample sites over six points in time from October to December 2019, systematically examining the market effect of food e-commerce platform certification along with the interaction between food e-commerce platform certification and reputation mechanisms, followed by a heterogeneity test by product price.

This study finds that sellers with platform certification can significantly increase their sales. The market effect of platform certification is more easily observed in the low-price product market. In addition, platform certification and reputation mechanisms have complementary effects. In a low-price product market, the complementary effect of platform certification and product reputation diminishes, while the complementary effect of platform certification and seller reputation disappears.

This study explores the market effect of food e-commerce platform certification, reveals the market effect of certification mechanism when multiple signaling mechanisms exist simultaneously and conducts an empirical test based on real market data. It provides a better comprehension of how platform certifications work in food e-commerce.

Ticket sales are an essential source of income for football clubs and federations. Analyzing the determinants of fans' willingness-to-pay for tickets is therefore an important exercise. By knowing the match- and fan-related characteristics that influence how much a fan wants to pay for a ticket, as well as to what extent, football clubs and federations can modify their ticket offering and targeting in order to optimize this revenue stream.

Using a detailed discrete choice experiment, based on McFadden's random utility theory, this paper formulates a Bayesian hierarchical multinomial logit model. Such models are very common in the discrete choice modeling literature. The analysis identifies to what extent match and personal attributes influence fans' willingness-to-pay for games of the Belgian men's and women's football national teams.

The results show that the strength of the opponent, the type of competition, the location of the seats in the stadium, the day and kick-off time of the match and the ticket price exert an influence on the choice of the respondent. Fans are attracted most by competitive games against strong opponents. They prefer to sit along the sideline, and they have clear preferences for specific kick-off days and times. The authors also find substantial variation between socio-demographic groups, defined in terms of factors such as age, gender and family composition.

The authors use the results to estimate the willingness-to-pay for match tickets for different socio-demographic groups. Their findings are useful for football clubs and federations interested in optimizing the prices of their match tickets.

To the best of the authors' knowledge, no stated preference methods, such as discrete choice analysis, have been used to analyze the willingness-to-pay of sports fans. The advantage of discrete choice analysis is that options and variations in tickets that are not yet available in practice can be studied, allowing football organizations to increase revenues from new ticketing instruments.

The transtheoretical model (TTM) has been applied to varying areas of physical health, e.g. diabetes. However, research into its applicability to psychotherapy is mixed. The TTM is applied through the University of Rhode Island Change Assessment (URICA). Investigating the utility of the URICA is needed to improve patient care and outcomes. This study aims to assess whether the URICA scores relate to patient outcomes; patient attendance; practitioner ratings of patient readiness, appropriateness, insight, motivation and potential for improvement; and to explore practitioner’s perspectives on the URICA.

Correlational methods were used to assess the relationship between the URICA and therapeutic outcome, attendance and practitioner-rated areas. Content analysis was used to analyse practitioner qualitative data.

The URICA did not correlate with either therapeutic outcome or attendance. A significant negative correlation was found between the URICA and practitioner-rated appropriateness of the referral. This means practitioners perceived individuals with lower URICA scores to be a more appropriate referral, despite the score indicating a reduced readiness to change. Qualitative categories included positive views, negative views, ambivalence and changes to measure and process. To conclude, the URICA does not explain a patient’s outcome or attendance. The URICA may not be appropriate to use in its current format in mental health services; therefore, assessing the TTM verbally may be more helpful.

This study provides research into suitability of using the URICA to assess the TTM and its applicability to attendance and outcome in psychological therapies.

Complex and sudden change that healthcare organizations often have to respond to, such as during the recent pandemic, can create major disruptions and a prolonged state of alert. Although the impact of such crises can be predominantly negative, rapid adjustments during this time can also yield positive change that can support organizational response to crisis, if managed well. Using insights from organizational learning and organizational change theory, the aim of this study was to understand organizational learning during sudden change. Specifically, the authors aimed to understand the experiences and types of gains and losses in the processes of complex and disruptive change in one large healthcare organization in the UK.

Focus group data were used from 23 focus group discussions with 575 participants representing all functions and departments in one Healthcare Trust.

The participants revealed the rich gains, losses, and lessons experienced in response to sudden change that can promote organizational learning. Perceived losses are more likely to drive a desire to refreeze “back to normal” and perceived gains more likely to lead to an emphasis on embedding gains and changing to better. Therefore, on balance, the substantial, in number and variety, gains and learnings point to a learning organization. This is an essential attribute for responding to disruptive change successfully and facilitating organizational recovery in a post-pandemic world.

The findings highlight the importance of timely harnessing of the organizational learning emerging from crises and how this can inform a more resilient organization, as well as supporting sustainable organizational cross-learning.

By extending these insights on workers’ adaptation to sudden change, the findings can help to advance the science and practice of organizational learning and support organizational recovery, especially as they describe the new status in UK healthcare organizations.

Purpose: Preserving a country’s culture is crucial for its sustainability. Handicraft is a key draw for tourism destinations; it protects any civilisation’s indigenous knowledge and culture by managing the historical, economic, and ecological ecosystems and perfectly aligns with sustainable development. It has a significant role in creating employment, especially in rural regions and is an essential contributor to the export economy, mainly in developing nations. The study focuses on the skills required and existing gaps in the handicraft industry, its development and prospects by considering women and their role in preserving and embodying the traditional art of making handicrafts.

Approach: A framework has been developed for mapping and analysing the skills required in the handicraft sector using econometric modelling; an enormous number of skills have been crowdsourced from the respondents, and machine learning techniques have been used.

Findings: The findings of the study revealed that employment in this area is dependent not only on general or specialised skills but also on complex matrix skills ranging from punctuality to working in unclean and unsafe environments, along with a set of personal qualities, such as taking initiatives and specific skills, for example polishing and colour coding.

Implications: The skills mapping technique utilised in this study is applicable globally, particularly for women indulged in casual work in developing nations’ handicrafts industry. The sustainable development goals, tourism, and handicrafts are all interconnected. The research includes understanding skills mapping, which provides insights into efficient job matching by incorporating preferences and studying the demand side of casual working by women in the handicraft sector from a skills perspective.