The impact of influencers' multi-SNS use on followers’ behavioral intentions: An integration of cue consistency theory and social identity theory

The considerable marketing potential brought by the rapid growth of social media has been extensively examined in the literature, particularly in terms of the impact of influencers' recommendations on their followers' decisions. However, little attention has been given to how the individual influencers' use of multiple social networking sites affects their followers' behavioral intentions. Hence, this academic gap warrants further exploration. Drawing on cue consistency theory, social identity theory, and stimulus-organism-response framework, this research proposes three research questions and constructs an integrated research model to explore how the influencers' cue consistency affects the social identification of their followers, subsequently influencing their behavioral intentions. A structural equation modeling technique is performed to analyze the data of 510 valid respondents. The findings show that influencers' consistent cues (i.e., information and image consistency) across social media have positive impacts on followers' cognitive and affective identification toward the influencers. Furthermore, the determinants for followers' purchase intention and electronic word-of-mouth intention are affirmed to serve as both cognitive and affective identification. Especially, the results indicate that the relationships between followers’ social identifications and behavioral intentions are moderated by the type of influencer (i.e., lifestyle vs. review). Accordingly, the results indicate how the use of multiple social networking sites by influencers impacts the behavioral intentions of their followers. The findings offer new insights into influencer marketing and provide important lessons for marketers.     

Is the system reliability profitable for retailing and consumer service of a dynamical system under cross-price elasticity of demand?

Retailing strategy is one of the most crucial factors for industries. A proper retailing strategy can help to enhance consumer service and increase the industry's profit. An improved approach to retailing is suggested in this research to deliver superior customer service while maximizing profits in a dynamic system. The study analyzes a retailing strategy for a demand with cross-price elasticity upon the retail price. A product's cross-price elasticity and the system reliability are critical factors in retailing. Understanding the cross-price elasticity of demand between products helps retailers to make pricing decisions that maximize profits by maintaining demand. Imperfect products are produced due to an imperfect production system. The imperfect ones must be adjusted with some costs to make them perfect for better retailing. The system failure rate is crucial for retailing under cross-price elasticity of demand patterns. Production system reliability, cross-price elasticity of demand, and consumer service are all essential factors that can impact a company's success in the market. The production rate is considered time- and system failure rate-dependent. Contradictory to the literature, a dynamical system is proposed for improved retail management, which is solved using the Euler-Lagrange theory. Finally, one can achieve the expected maximum profit for this retail system with optimum selling prices for different products by reducing the system failure rate. Some numerical illustrations with graphical representations are provided to validate the current study. Numerical examples show that applying cross-price elasticity of demand for more than two identical products provides 35% more profit for the retail industry than a single type of product.     

Becoming a tree when I will be dead? Why not! Generation X,Y and Z,and innovative green death practices

Within the theoretical field of ethical consumption, the study focuses on consumer behavior and innovative green death practices. While scarcely investigated in the marketing and consumer behavior research domains, at least four main reasons spur to consider the funeral industry as an interesting subject of enquiry: i) the sector boasts of a significant economic relevance; ii) it is extremely impactful from an environmental and social point of view; iii) it is witnessing interesting innovative processes in the direction of social and environmental sustainability; iv) consumer movements are rising all over the world asking for more sustainable death practices. Thus, adopting an augmented version of the theory of planned behavior (TPB), which includes individuals’ environmentally responsible consumption, and egoistic and altruistic environmental concern, the study investigates behavioral intention to adopt innovative green death practices (a green funeral) of people belonging to three different generations: X, Y, and Z. A purposive sample of 627 Italian people participated in an online the survey. Collected data were analyzed adopting an ordinal logit model. The results confirm the TPB predictive power also in the field of green funeral behavioral intention. Furthermore, environmentally responsible consumption and environmental concern – even though only in its altruistic component – positively influence behavioral intention, and generation exerts a moderating effect among the examined constructs. Overall, the research attempts to enrich the literature on ethical consumption by exploring the underinvestigated phenomenon of buying behavior of unsought and end-of-life products, that of green funerals, and provide managerial recommendations to funeral service sellers.     

Model-free portfolio theory: A rough path approach

Based on a rough path foundation, we develop a model-free approach to stochastic portfolio theory (SPT). Our approach allows to handle significantly more general portfolios compared to previous model-free approaches based on Föllmer integration. Without the assumption of any underlying probabilistic model, we prove a pathwise formula for the relative wealth process, which reduces in the special case of functionally generated portfolios to a pathwise version of the so-called master formula of classical SPT. We show that the appropriately scaled asymptotic growth rate of a far reaching generalization of Cover's universal portfolio based on controlled paths coincides with that of the best retrospectively chosen portfolio within this class. We provide several novel results concerning rough integration, and highlight the advantages of the rough path approach by showing that (nonfunctionally generated) log-optimal portfolios in an ergodic Itô diffusion setting have the same asymptotic growth rate as Cover's universal portfolio and the best retrospectively chosen one.     

Integrating strength-weakness analysis into strategic planning

Strength-weakness assessment, which must be performed as a part of any strategic planning process, is presented in terms of a process, termed SWA, that involves managers in making the critical informational choices that are implicit in strategic assessments of strengths and weaknesses. The process is illustrated in terms of its underlying premises, their implications, its benefits, and an illustrative substantive framework that can be used to guide the process.     

论资产评估与会计的关系

资产评估与会计是既有区别又有联系的专业服务活动,本文通过讨论两者之间的关系,使我们明确会计提供以事实判断为主要内容的服务,资产评估提供以价值判断为主要内容的服务,它们都是现代市场经济赖以正常运行的基础服务行业。使我们更深刻地认识资产评估,更好地利用会计信息为评估服务,从而提高资产评估质量。     

区域矿产资源综合经济评价指标的优选途径

本文运用灰色关联分析的 3 种方法-灰色绝对关联度分析、灰色相对关联度分析和灰色综合关联分析方法,对区域矿产资源综合经济评价指标进行了优选研究,取得了满意的效果。     

电子商务专业人才培养模式的探索

本文提出电子商务专业＂工学并行、岗能一体、校企融合＂的人才培养模式,并给出了具体的实施方案和建议。通过人才培养模式的构建,希望建立一个合理的、完善的、高效的人才培养体系,为高职电子商务专业建设和改革提供具有参考意义的人才培养思路。     

“省直管县”财政体制如何促进经济增长——基于江苏省2004-2009年数据的实证分析

近几年来,省直管县财政体制在各省陆续实施,其主要目的在于克服既有的市管县体制存在的各种弊端。可以预期,这项改革措施有减少行政管理成本、解决县乡财政困难、促进县域经济增长等多种潜在作用。但可能存在的问题是,该财政体制如何促进经济增长?文章利用江苏省51个县(市)2004-2009年的空间面板数据进行分析发现,省直管县财政体制对经济增长的作用主要是通过县(市)扩权而产生的政府竞争效应实现的。     

新制度经济学视角下保险理赔难的原因与对策研究

保险理赔难近年已经成为消费者投诉的一个重点,制约中国保险业健康发展。通过使用制度经济学的方法,分析其原因主要就是理赔制度的不完善和监督制度的低效率。通过完善保险理赔和保险公估制度,建立全国信用征信体系等措施,有助于解决理赔难的问题,促进保险业的健康发展。