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Survival guide for traders : how to set up and organize your trading business
\"The must-have guide for anyone considering entering the exciting world of trading from homeThe biggest stumbling block for people looking to launch their own trading businesses from home is a failure to understand the complexities of the \"back office\" operations needed to be successful. Survival Guide for Traders is here to help. Packed with strategies for building a successful home trading business, and featuring answers to questions most up-and-coming traders would never think to ask, Survival Guide for Traders is required reading for anyone who wants to start and sustain a trading business from home. Explains how to create a trading business plan, set up an office, implement a trading system, use margin, deal with legal and financial issues, and keep appropriate records Examines the opportunities and challenges of handling a home-based trading business Details the process of setting up and organizing your trading business Includes a comprehensive \"Trading Business Plan Template\" that you can customize Written by Bennett McDowell, a highly regarded trader and trainer of traders The book for anyone even thinking about entering the exciting world of trading, the Survival Guide for Traders offers practical solutions that anyone can use in order to build a lasting, thriving home trading business\"-- Provided by publisher.
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The process optimization method of the optimal online sales model of information product demand concerning the spillover effect
Purpose - This paper examines the process optimization method of the online sales model of information product demand concerning the spillover effect. It illustrates the spillover effect (SE) of online product demand compared with traditional market demand. Also, optimized the SE for the ethical and ordinary consumer. Design/methodology/approach - This article primarily focused on two types of models for online marketing: one is wholesales, and another is the agency. Firstly, the wholesale and agency models without SE and the wholesale and agency models with SE are constructed, respectively, to realize the SE in different sales models. Secondly, online channel participants' optimal price, demand and profit under variant conditions are compared and analyzed. Finally, efficient supply chain theory is optimized for the decision-making of online marketing consumers using an equation-based comparative analysis method. Findings - The study found that when SEs are not considered, stronger piracy regulation makes online channel participants more beneficial. When the positive SE is strong, it is detrimental to manufacturers. When SEs are not considered, online channel participants only reach Pareto in agency mode. Pareto optimality can be achieved in wholesale and agency modes when SEs are considered. Originality/value - The research has practical implications for an effective supply chain model for online marketing. Thisis the first algorithm-based comparative study concerning theoretical spillover effect analysis in supply chain management.
Journal Article
Augmenting the eye of the beholder: exploring the strategic potential of augmented reality to enhance online service experiences
Driven by the proliferation of augmented reality (AR) technologies, many firms are pursuing a strategy of service augmentation to enhance customers’ online service experiences. Drawing on situated cognition theory, the authors show that AR-based service augmentation enhances customer value perceptions by simultaneously providing simulated physical control and environmental embedding. The resulting authentic situated experience, manifested in a feeling of spatial presence, functions as a mediator and also predicts customer decision comfort. Furthermore, the effect of spatial presence on utilitarian value perceptions is greater for customers who are disposed toward verbal rather than visual information processing, and the positive effect on decision comfort is attenuated by customers’ privacy concerns.
Journal Article
Intrinsic Incentives for Online Business Reviews: Driving Knowledge Transfer Across Businesses
The present paper aims to analyze business-to-business feedback, where managers and customers provide reviews for partners or client organizations, as this practice has become increasingly common in the present business environment. However, the intrinsic motivations that drive managers and individuals to engage in this practice are not yet fully understood. Previous research has highlighted potential reasons for issuing feedback, but our study highlights some new perspectives on the significance of online reviews, the reasons why individuals issue them, and their potential impact on the decision-making process of consumers and business partners. Our findings suggest that improving customer service and interactions is essential for encouraging positive reviews. Our data also indicate that age might play a crucial role in attitudes toward leaving online reviews. Older individuals appear to perceive their reviews to be more objective and fairer, while younger individuals are more easily convinced by the opinions of others. The frequency of leaving reviews can also vary a lot depending on the age of the individual, possibly due to a lack of time or belief that their opinion may not have any valuable impact on other people's lives or decisions. One of the most significant factors that encourage individuals to offer feedback is good interaction with a company representative, highlighting the importance of customer service. The possibility of obtaining a discount and the quality of services and products offered were also important factors in the business-to-business review exchange. Although the data collected is based on a relatively small sample size and may not be representative of the wider population, this study provides valuable insights into the behavior of those who issue online reviews and can contribute to future research directions in this area.
Journal Article
Enhancing consumer engagement in an online brand community via user reputation signals: a multi-method analysis
Generating and maintaining consumers’ engagement in online brand communities is critical for marketing managers to enhance relationships and gain customer loyalty. In this research, we investigate how the type of signal used to indicate user reputation can enhance (or diminish) consumers’ community engagement. Specifically, we explore differences in perceptions of points (i.e., point accrual systems), labels (i.e., descriptive, hierarchical identification systems), and badges (i.e., descriptive, horizontally-ordered identification systems). We argue that reputation signals vary in the degree to which they can provide role clarity—the presence of user roles that deliver information about expected behaviors within a group. Across several studies, including a natural experiment using panel data, a survey of community members, and two controlled experiments, we show that signals that evoke a positive social role have the ability to drive greater engagement (i.e., creating discussions, posting comments, and future engagement intentions) than signals that do not provide role clarity. The effect is moderated by user tenure, such that new consumers’ engagement is particularly influenced by signal type. These findings have important implications for marketers as they use reputation signals as a strategic tool when managing online communities.
Journal Article
Modelling and prioritizing the factors for online apparel return using BWM approach
Online apparel industry is suffering from a major issue of return, with a high rate of return for apparels that are sold online it becomes necessary to investigate the probable reasons of return in online apparel industry. The objective of the study is to develop a multi-criterion approach for evaluation of various factors that are responsible for the return of apparels purchased online in context of India. A total of 34 factors were identified through literature review and discussion with experienced experts from the fashion domain. In this study, best–worst method has been employed to prioritize and rank the factors for online return more effectively. Sensitivity analysis has been carried out to check the robustness of the proposed model of the study. The findings of the study show that fit and size variation, defects, found a better product (wisdom of purchase), wrong product delivery, lenient return policy and value for money were identified as crucial factors for online apparel return. The present study provides valuable research implications which can be used for retail policy improvements and also to online selling strategy.
Journal Article
Impacts of service guarantees on consumers' perceived quality and satisfaction in e-commerce
PurposeE-commerce platforms offer service guarantees (SGs) to improve consumers’ perceived quality and satisfaction. This survey aimed to test the direct and indirect effects of SGs on consumers’ perceived quality and satisfaction concerning the services of an international e-commerce platform.Design/methodology/approachThe survey sample consisted of 378 consumers of an international e-commerce platform. Structural equation modelling (SEM) tested two structural models.FindingsThe first hypothetical model demonstrated that SGs positively and directly affects perceived quality and consumers' satisfaction on an e-commerce platform. This model also revealed that the perceived quality directly and positively impacted consumer satisfaction. The second hypothetical model confirmed that perceived quality mediates the relationship between SGs and satisfaction. Moreover, SGs positively and indirectly impacts consumer satisfaction.Practical implicationsThis study suggests that e-commerce platforms use SGs as a marketing strategy in their business models to increase perceived quality and consumer satisfaction. However, to positively impact the perception of quality and consumer satisfaction, such SGs must have the following characteristics: unconditional, easy to understand and communicate, meaningful, easy and painless to invoke, and easy and quick to collect.Originality/valueThis research demonstrated the direct effects of SGs on perceived quality and consumer satisfaction on an international e-commerce platform. SGs directly impacts consumer satisfaction with the platform, even if they have not experienced its quality attributes (reliability, customisation, security and design). The indirect effects of SGs on consumer satisfaction were also proven, mediated by perceived quality. No previous study demonstrated such relationships simultaneously on e-commerce platforms.
Journal Article
Determinants of online merchants’ satisfaction on third party logistics in a developing nation: a partial least square (PLS) approach
Rapid digitalization and explosive growth of e-commerce have elevated the need for effective supply chain and logistics management in the online retail sector. Consequently, third-party logistics (3PL) providers are becoming indispensable to online retailers as a way to satisfy customers’ demands for prompt and dependable deliveries. The study is aimed at identifying major drivers ruling merchants’ satisfaction with third-party logistics from e-commerce perspectives. A set of multifaceted factors are investigated in this study that encourage retailers to employ third-party logistics rather than their own fleets. This study is quantitative in nature where 250 respondents are chosen on the basis of the random sampling method. In organizing and constructing factors, demographic statistics, and factor analysis are used respectively. In analyzing data and testing the hypothesis, the Partial Least Square Structural Equation Modeling (PLS-SEM) approach is applied using SMART PLS-4 software. The findings of this study can be a basis for third-party logistics providers to optimize their logistics services and design marketing and operational programs to enhance partnerships with their clients. Moreover, this research provides important insights into the continuous endeavor to increase the efficiency and effectiveness of the e-commerce sector in developing countries.
Journal Article
Determinants of Intention to Purchase Bottled Water Based on Business Online Strategy in China: The Role of Perceived Risk in the Theory of Planned Behavior
With the development of the network economy, especially the promotion and popularization of mobile networks, traditional offline businesses are further integrated with online businesses, promoting the development of business online strategies. However, with the growth of enterprises’ business, their negative externalities on the environment have gradually become prominent, further affecting sustainable consumption. The relationships between businesses, the environment, and consumption have become the focus of attention. China’s fast-growing bottled water companies face similar challenges. The pollution that occurs due to bottled water packaging poses great threats to consumers. Hence, this study extended the Theory of Planned Behavior (TPB) by integrating three risk aspects, namely, water pollution risk perception (WPRP), non-degradable package pollution risk perception (NPPRP), and false information risk perception (FIRP), to examine the consumers’ perceptions toward these risk aspects before purchasing bottled water online. This study employed a cross-sectional approach to collect data from online consumers via a survey method. A total of 401 valid samples were collected and then analyzed via a structural equation model using the AMOS statistical package. The results showed that attitude (AT), subjective norm (SN), and perceived behavior control (PBC) toward online bottled water purchase had significant and positive effects on the consumers’ purchase intentions (PIs). However, under the influence of risk perception, the consumers’ attitudes, SNs and PBC became suppressed by WPRP, and SN became suppressed due to the impact of FIRP. Furthermore, the negative impacts of NPPRP and FIRP on PI were partially mediated by AT, SN and PBC. Meanwhile, WPRP imposed the most significant direct effect on PI. The study results will help businesses to develop better online strategies to reduce the risk perception of bottled water and provide theoretical value and practical guidance for realizing sustainable consumption.
Journal Article
Online business simulations: authentic teamwork, learning outcomes, and satisfaction
Educators have struggled to incorporate authentic team-based learning (TBL) into the business curriculum despite increasing evidence that collaborative learning can enhance learning outcomes. We investigate the use of online business simulations as a platform for fostering authentic TBL for undergraduate and postgraduate business students studying at seven institutions in Australia and Hong Kong. Quantitative analysis of 365 surveys is supported by focus groups with 14 students. Structural equation modeling (SEM) is used to model the relationships between teamwork, learning outcomes, and satisfaction. Qualitative results support the statistical modeling and are presented to add further insights and conceptual richness. The findings support our proposition that online business simulations provide an authentic TBL environment, which contributes to learner satisfaction by supporting the development of management-related learning outcomes through socially constructed meaning. This conceptual contribution highlights further avenues for research and leads to some practical implications for educators using simulation-based pedagogies.
Journal Article