ارائۀ رویکرد جدیدی برای بخشبندی مشتریان بر اساس تغییر رفتار خرید آنها در طول زمان در حوزۀ کسبوکار الکترونیک

As obesity has become a worldwide problem, a number of health programs have been designed to encourage participants to maintain a healthier lifestyle. The stakeholders often desire to know how effective the programs are and how to target the right participants. Motivated by a real-life health program conducted by an Australian supermarket chain, we propose a novel method to track customer behavior changes induced by the program and investigate the program’s effect on different segments of customers, split according to demographic factors like age and gender. The method: (1) derives customer preferences from the transaction data, (2) captures the customer behavior changes via a temporal model, (3) analyzes the program effectiveness on different customer segments, and (4) evaluates the program influence using a one-year data set obtained from a major Australian supermarket. Our results indicate that while overall the program had positive effect in encouraging customers to buy healthy food, its impact varied for the different customer segments. These results can inform the design of personalized health programs that target specific customers in the future and benefit more people. Our method can also be applied to other programs that use transaction data and customer profiles.

As a result of the COVID-19 pandemic, business and consumer behavior towards online consumption and digital payments has changed. This trend, although significant, may be observed, to a varying extent, among customers across the European Union. This study aims to investigate if, and to what extent, the COVID-19 pandemic has had a powerful impact on online consumer behavior in EU (European Union) countries. The empirical research using a soft modeling method supplements theoretical deliberations based on critical literature review. A conceptual model was adopted. Three first-order latent variables were selected for the analysis: “online customer behavior”, “online activity” and “willingness to spend online”, to which all analyzed indicators (14) were classified. The analysis of the loadings of latent variables for 2019 and 2020 allowed the impact of the pandemic on customer behavior to be observed, although this was not the same across all EU countries. Clustering performed with the hit map enabled the identification of four groups of countries. Significant changes in behavior were observed in countries such as Poland, Ireland, Romania, Hungary, Slovenia, Spain, and Finland. The results of the classification based on the values of three latent variables indicate that only the composition of one group (Bulgaria and Romania) remained unchanged during the study period. Research discussion was presented, and further fields of study were identified.

The profound impact of the coronavirus pandemic on global tourism activity and the hospitality industry has rendered statistical approaches on tourism-demand forecasting obsolete. Furthermore, literature review shows the absence of studies on the supply chain in the HoReCa (hotel, restaurant, catering) sector from a sustainability perspective that also addresses economic and social aspects, and not only environmental ones. In this context, the objective of this article is to carry out a prospective analysis on how the changes in the behaviour of consumers during the pandemic and the uncertainties regarding the exit from the health emergency can give rise to social trends with a high impact on the HoReCa sector in the coming years and, specifically, how they will affect the HoReCa supply chain. In the absence of investigations due to the proximity of what has happened, public sources and reports of international relevance have been identified and analysed from the future studies and strategic and competitive intelligence disciplines. The HoReCa sector in Spain has been chosen as field of observation. This analysis draws the future of the HoReCa sector, describes the changes in customer behaviour regarding food and beverages, explains the changes in distribution chains, and reflects on the impact of potential scenarios on the sector. The confluence of all these changes and trends can even configure a new supply chain in the hospitality sector with the emergence of new actors and the increase of access routes to a new final customer for whom security prevails in all its dimensions: physical, emotional, economic, and digital.

This research investigates how policy changes affect customer attitudes and behaviors, as well as firms' service operations outcomes, in the context of social media customer service. It aims to fill the gap in knowledge regarding the interaction between customers and social media customer service agents and its effect on companies’ customer service operation performance. The first essay examines how social media customer service agents’ personalized profiles can influence customer emotions, complaints, and satisfaction. The findings suggest that humanized customer service leads to an increase in positive sentiment in public tweets, fewer complaints, and a higher probability of customer satisfaction. The study highlights the importance of human warmth in customer service in eliciting positive customer attitudes and satisfaction on social media. The second essay explores the impact of the COVID-19 pandemic on changes in customer behavior in the context of social media customer service. The findings show that during the lockdowns and physical distancing, customers expressed more positive emotions and were more likely to express satisfaction after interacting with customer service agents, but female customers expressed a lower level of satisfaction after interacting with the agents. The findings of these studies contribute to our understanding of the impact of humanized customer service and the COVID-19 pandemic on customer behavior and satisfaction and have implications for companies seeking to provide a more positive and personalized customer experience on social media platforms.

Unintended Consequences of Health Care Legislation

In this study, the authors assess the effects of a data breach announcement (DBA) by a multichannel retailer on customer behavior. They exploit a natural experiment and use individual customer transaction data from the retailer to conduct a detailed and systematic empirical examination of the effects of a DBA on customer spending and channel migration behavior. To identify the effects, the authors compare the change in customer behavior before and after the DBA between a treatment group (customers whose information is breached) and a control group (customers whose information is not breached) using the difference-in-differences modeling framework. They find that although the data breach results in a significant decrease in customer spending, customers of the firm migrate from the breached to the unbreached channels of the retailer. The findings further reflect that customers with a higher retailer patronage are more forgiving because the negative effects of the DBA are lower for customers with a higher level of patronage. The authors propose and empirically test for the role of customer data vulnerability as the behavioral mechanism that drives customer behavior subsequent to a DBA. The authors offer prescriptions for managers on how to engage with customers following DBAs.

Hospitality services rank among significant realisation factors of tourism. Due to its increasing importance and high potential, tourism falls into significant elements effecting a possible development of rural areas, especially in the area of maintaining and supporting small and medium businesses. This paper deals with the issues of customer behaviour in the Czech Republic with the emphasis on hospitality services. The main purpose was to identify and analyse development changes in customer behaviour in the area of these services. The pursuit of revealing the causes of such established changes and finding possible links and connections between the individual factors was an inseparable part of it. Furthermore, we compare the materially-technical base and the existing accommodation services in the period after 1989 with the contemporary situation and we also outline new trends in customer behaviour in the Czech Republic. To reach these set targets, a secondary date analysis was conducted and after that, a primary research in the form of questionnaire survey among consumers was carried out. During the statistical evaluation of the research, the frequency of the occurrence of each question was evaluated (e.g. Information on accommodation facilities is usually found on the Internet for 64% of respondents.), then dependences among verbal features were measured and the expressed hypotheses were tested (e.g. The assumption: less than 30% people are looking for accommodation in the category from 201 CZK to 300 CZK was not rejected and so we can say that approximately 30% people find their accommodation in the category 201–300 CZK). Important results of the conducted surveys with the relevant discussions are a part of this paper.

The rise of personal computers, cell phones, and other smart gadgets has ushered in a new era of enormous data generation, sharing, and use. In the big data age, there has been a significant shift in consumer purchasing behavior due to the high transparency and quick flow of information. Consumers are becoming more logical in their purchasing decisions, paying more attention to the observable advantages that brands offer, and placing greater importance on the individualized services that businesses offer. With this in mind, this article explains some of the functions and analytical techniques of big data analysis in forecasting customer behavior. To be specific, the basic concepts and models of bigdata are introduced. Subsequently, the corresponding applications based on the state-of-art big data analysis techniques are demonstrated. The research of changes in customer behavior will assist businesses in promptly adjusting their marketing plans and winning the first chance in the harsh market rivalry. These results shed light on guiding further exploration of consumer behavior analysis in the new era.

BackgroundPersons with rheumatic diseases have a higher rate of surgery as well as a need of beneficial lifestyle behaviours, in order to control risk factors associated with surgery and disease...

You and colleagues 1 are to be applauded for their insightful survey study examining the role of physiotherapists in the management of obesity. The prevalence of obesity has reached epidemic proportions in Canada: as You and colleagues note, 1 59% of adult Canadians are overweight or obese (defined as a body mass index of 25-29.9 and >30 kg/m 2 , respectively). Obesity is increasingly prevalent, 2 and, unsurprisingly, many segments of the population are affected by this trend. Immigrants to Canada become increasingly overweight as their length of stay in Canada increases.

Self-Management Education Approach: Engaging Patients in Creating a Personal and Relevant Action Plan (Part 2): I Keep Telling Patients What to Do, So Why Don't They Make Progress?

The Faster Payments Service (FPS) was launched in 2008 and has witnessed significant growth since its inception. In 2010, the second full year of operation, volumes rose above anticipated levels, and new products and services supported by this 24✠7 immediate payment capability are starting to evolve. VocaLink has undertaken much work to assist banks and their customers in the implementation of FPS within their businesses and to leverage the opportunities it provides to offer improved service level agreements. Some of these innovations are markers for a convergence between card, automated clearing house and Real Time Gross Settlement payment behaviours. Studies since 2008 have witnessed a slow but significant change in customer behaviour and expectation. Accord and VocaLink conducted research in 2010 to determine consumer and small business impressions and the take up of FPS. This independent research is based on a reasonable sample size (more than 2000 individuals and 300 small and medium-sized enterprises (SMEs)), and the results point to a widespread consumer understanding of a change in payment services, but without clear understanding of FPS in itself as a service or brand proposition. It is perceived by the consumer to be the capability of a bank, rather than a network or scheme capability. A clear shift has been seen in expectation of service levels and the art of the possible. In a separate study, the benefits of a mobile bank-account-to-bank-account payment service was examined, and the SME sector’s willingness to pay for such a service to reduce reliance on cheques and cash.

Food addiction (FA) has a long-term impact on the health of individuals. This study analyses the changes in FA and related behaviour in India in the wake of lockdown which started on 25th March 2020 as a response to the COVID-19 outbreak. This paper provides insight into the food consumption behavior of various segments of the population during this lockdown. It offers some new insights in this regard by establishing the relationship between a temporary pause in the consumption of palatable food and FA. This study was conducted between March and May 2020 in two stages. First, a quantitative study used the Yale Food Addiction Scale (YFAS) to identify food addicts from a sample of 150 respondents. In the second stage, in-depth telephone interviews were conducted with the food addicts; the responses were recorded, transcribed, and analysed to ascertain the changes in their overall consumption and addiction behavior towards palatable foods. This was done by conducting a thematic analysis with the help of the NVivo software where various tools like word cloud and cluster analysis were used. This study found that COVID-19 restrictions had significantly brought down the addiction to palatable food in India as the regular consumption chain had got broken during the lockdown. The consumption of palatable food is expected to remain low for a brief period after the lockdown due to hygiene issues like improper or lack of sanitization and cleanliness. However, in the long-run, the consumption of palatable food is expected to rise in India owing to its growing population, modernisation, increasing disposable income and changes in customer preferences. These findings have significant implications for the food, packaging and health industries as the changes in customer behavior will certainly impact them, and they need to duly change their strategy to adapt to the changes promptly.

The internet has developed into a lifestyle for people. Its use is not limited to obtaining and accessing information only, but to fulfill various needs. The change in people's lifestyles from offline shopping has led to a significant increase in the e-commerce market. Various marketplaces such as Shopee began to offer various kinds of convenience to meet the needs of the community by shopping online. Changes and developments in technology have made changes in customer behavior from purchasing through offline shops to through online shops or through e-commerce and marketplaces, this also affects purchasing decisions in buying a product or service.In this study, researchers used the explanatory method using a quantitative approach. The population of this study were Shopee users in Malang City who had made at least one purchase transaction. The data collection technique is by distributing questionnaires. The sample for this research was taken using purposive sampling technique with Malhotra's formula, which amounted to 70 respondents at Shopee users in Malang City. The variables in this study are Live Streaming (X1), Online Customer Review (X2), Purchase Decision (Y) and Trust (Z). The data analysis method used is validity test, reliability test and PLS test or Partial Least Square with the help of smart PLS software version 3. 0.The results of this study indicate that Live Streaming has a significant effect on Trust, Online Customer Review has a significant effect on Trust, Live Streaming has a significant effect on Purchasing Decisions, Online Customer Reviews has a significant effect on Purchasing Decisions, Trust has a significant effect on Purchasing Decisions. In indirect effects, it was also found that the results that Live Streaming on Purchasing Decisions did not mediate Trust were rejected and Online Customer Review on Purchasing Decisions mediated Trust was accepted.

PurposeThe growth of the internet has transformed digital infrastructure in Thailand over the past two decades, with the widespread use of e-commerce, digital money and online services becoming a daily norm for all ages. The COVID-19 restrictions, which limited in-person business operations, boosted demand for takeout and delivery services and fueled the expected steady growth of the online food delivery market in Thailand. The pandemic also resulted in a shift towards online ordering and delivery, reflecting changes in customer behavior. This study focuses on exploring the factors that have driven Bangkokians to use online food delivery services after the COVID-19 restrictions were lifted in June 2022.Design/methodology/approachData were collected from 398 participants who had ordered food delivery services after the announcement.FindingsThe findings showed that perceived usefulness, time saving benefit and price saving benefit have a significant impact on the intention of customers to use online food delivery services, while food safety risk perception had no effect.Practical implicationsBangkokians favor online food delivery services due to convenience and time-saving, indicating high demand post-pandemic. Businesses should invest in improving their platforms to meet evolving consumer behavior.Originality/valueThe result of this study offers valuable insights into the attitudes and behaviors of Bangkokians towards online food delivery services and could be beneficial for businesses in the industry to improve their services, enhance customer satisfaction as well as increase their competitiveness.