Junyun Liao, Yaohua Ye, Fengyan Li and Kai He
Social free sampling (SFS) campaigns are an increasingly popular marketing practice in which firms provide trial users with free sampling products and collect posted trial reports…
Abstract
Purpose
Social free sampling (SFS) campaigns are an increasingly popular marketing practice in which firms provide trial users with free sampling products and collect posted trial reports from trial users on social commerce sites to attract prospective consumers. This paper aims to examine how trial users’ product evaluation in SFS influence appreciative reader engagement by utilizing the persuasion knowledge model (PKM).
Design/methodology/approach
To test our theoretical framework, 3,427 trial reports were collected from an SFS site and analyzed using Poisson regression models.
Findings
SFS evaluation is negatively associated with readers’ appreciative engagement. We also found that higher emotional intensity in SFS reports or higher reputation of the trial user mitigates the negative effect of the product evaluation. However, when the trial report with stronger emotional intensity is written by a trial user with a high reputation, the negative impact of the SFS evaluation on appreciative engagement becomes more pronounced.
Research limitations/implications
Although extant research has acknowledged product rating bias in product trial reports, limited empirical studies have examined the impact of product ratings on reader engagement. This empirical study bridges the voids of product rating bias in the social free sampling literature and provides important managerial implications for the emerging social free sampling.
Practical implications
Brands should be careful of the negative effect of high product rating and this negative effect can be mitigated by inviting users of high reputation.
Originality/value
This study is among the first ones that examine the effect of SFS product evaluation on appreciative engagement and provide a nuanced understanding of how product evaluation, user reputation and emotion intensity jointly shape reader engagement.
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Yannian Wu, Euisoo Kim, James J. Zhang, Fengyan Li and Haixia Duan
Grounded in social cognitive theory, social exchange theory and “cognition-emotion-behavior intention” analysis framework, a theoretical model of cause-related sport marketing…
Abstract
Purpose
Grounded in social cognitive theory, social exchange theory and “cognition-emotion-behavior intention” analysis framework, a theoretical model of cause-related sport marketing (CRSM) affecting consumers’ purchase intentions was constructed through a case study. This model was then empirically validated to confirm CRSM's impact on consumers' purchase intentions.
Design/methodology/approach
This study embraces a mixed-methods approach that combines both qualitative and quantitative research methodologies to investigate the mechanisms through which CRSM influences consumers' purchase intentions.
Findings
The results indicate that: (1) consumers’ perception of CRSM has no direct impact on purchase intentions; (2) consumers’ perception of CRSM directly affects gratitude; (3) consumer gratitude acts as a complete mediator between perceived CRSM and purchase intentions.
Originality/value
These findings shed light on the role of gratitude in CRSM and offer practical guidance for sports enterprises in improving their philanthropic marketing strategies.
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Binyue Kang, Qiuyu Shao, Hengkang Xu, Fengyan Jiang, Xiaoting Wei and Xinqing Shao
Grassland in Qinghai as the main type of ecosystem in this region is located in arid and semi-arid areas. The ecosystem is fragile and sensitive to climate change. Grassland…
Abstract
Purpose
Grassland in Qinghai as the main type of ecosystem in this region is located in arid and semi-arid areas. The ecosystem is fragile and sensitive to climate change. Grassland ecosystem not only provides essential ecological and life functions for human society but also plays a vital role in mitigating and adapting to climate change. The empirical literature on grassland ecosystem services value (ESV) does not consider the impact of climate change and regional economic development level factors, which prevents policymakers from making appropriate decisions. This paper aims to analyze the influencing factors of grassland ESV assessment, and, based on the meta-prediction model, account the grassland ESV in Qinghai province.
Design/methodology/approach
To understand the value of grassland ecosystem services in China under climate change, this paper used 61 research literature on the evaluation of grassland ESV in China, including a total of 564 value observations to establish a value transfer database. Based on the meta-analysis method, this study has constructed a value transfer model, to evaluate the grassland ESV in Qinghai province, and an interpretation model, which can analyze if the independent variables affect the grassland ESV significantly.
Findings
The study finds that the evaluation methods, types of ecosystem service functions, climate change and grassland types can affect the grassland ESV significantly. Based on the meta-regression prediction model to evaluate the grassland ESV in Qinghai is US$1,542.67/ha/year. It indicates several targeted approaches to increase the grassland ESV, and climate change also has a specific impact on the value of grassland ecosystem services.
Research limitations/implications
This study provides a scientific basis for grassland management related to the development of grasslands and ecological compensation, as well as promote the sustainable development of grassland ecosystems.
Originality/value
This paper contributes to the field of grassland ESV assessment in at least three aspects; first, it innovatively introduces the meta-analysis to carry out an integrated analysis of previous research results; second, it includes a broader set of influence variables in the analysis, including meteorological and economic factors; and third, it establishes a methodological basis for the field of grassland ESV accounting.
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Ahmed Adel Tantawy, Joseph Amankwah-Amoah and Pushyarag Puthusserry
This paper identifies the development of and gaps in knowledge in various management disciplines, including international marketing in relation to political ties in emerging…
Abstract
Purpose
This paper identifies the development of and gaps in knowledge in various management disciplines, including international marketing in relation to political ties in emerging markets, based on a systematic review of the related literature. The paper develops a synthesized integrative framework and provides a research agenda and pathways for future research.
Design/methodology/approach
The study adopts the systematic literature review protocol to investigate the ways in which political ties have been examined in the management literature in various disciplines, such as international business, marketing, entrepreneurship, strategy, innovation, and organization. In total, 114 articles published in peer-reviewed journals from 2000 to 2022 were analyzed.
Findings
The authors believe that studying the impact of political ties on firm outcomes is timely and important as interest in this area of research is growing rapidly. The review reveals that the diverse conceptual and methodological approaches adopted in different management disciplines have resulted in inconclusive and mixed findings on the relationship between political ties and performance.
Originality/value
This is one of the few systematic literature reviews of political ties and firm performance in emerging markets. The authors clarify some of the ambiguities around the subject and offer a path forward for developing current understanding and insights. The study also highlights the major perspectives in management and clarify the similarities and differences in the conceptualization of political ties. In addition, the authors develop an integrative framework of the political ties–performance link in emerging markets.
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Yan Feng, Jia Lu and Yeujun Yoon
Experiences of high quality games between top-class sports teams could influence sports fans’ decision to attend the domestic sports games. For example, soccer fans who watched…
Abstract
Purpose
Experiences of high quality games between top-class sports teams could influence sports fans’ decision to attend the domestic sports games. For example, soccer fans who watched the World Cup games between the best national teams are likely to be disappointed with the performance of their domestic league teams after the World Cup event, while more people might be attracted to watch a soccer game because of their increased interest in soccer games. The purpose of this paper is to investigate how the international sports event (i.e. the World Cup) influences the demand of the domestic sports league games in the non-hosting country.
Design/methodology/approach
To test these antithetical hypotheses, the authors collect the Chinese Super League game-level data from 2004 to 2011. For analysis, the authors propose two empirical models rigorously developed based on previous sports marketing theories.
Findings
The findings are surprising compared to previous studies for the hosting countries or countries that performed spectacularly during the World Cup tournaments. The authors find that the international event negatively influences the attendance of domestic games. Specifically, it gives salience to the competitive quality of a match and helps enhance the impact of star players. Furthermore, the authors find evidence of dynamic effects of the international event.
Originality/value
The study contributes to the previous sports literatures by expanding our understanding of the effect of international sports events. Particularly, the results shed light on international events’ impact on the domestic sports league demand in more general conditions based on its influence on people’s behavior, rather than focusing on the effect caused by facility development or dramatic performance during the international event.
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Paige Sable, Fengyan Tang, Jenifer A. Swab, Sheila Roth and Daniel Rosen
This study focuses on Emergency Medical Service (EMS) personnel and examines the impact of overdose calls for opioids and attitudes of EMS workers towards individuals with…
Abstract
Purpose
This study focuses on Emergency Medical Service (EMS) personnel and examines the impact of overdose calls for opioids and attitudes of EMS workers towards individuals with substance use disorders on EMS workers' mental well-being while accounting for self-reported sleep and social support.
Design/methodology/approach
This cross-sectional study surveyed EMS workers (N = 608) across Pennsylvania on demographic variables, frequency of overdose calls, attitudes towards opioid use and naloxone administration on measures of mental health. Multiple logistic regression models were estimated to examine the relationship of perception of opioid use and treatment and likelihood that EMS workers might experience depression.
Findings
Authors found two main findings: (1) There was a significant relationship between more negative perceptions about opioid use/naloxone and the likelihood that EMS workers might experience depression. (2) There was a significant relationship between number of overdose calls EMS workers responded to and likelihood of depression, which appeared to be alleviated by improvements in sleep and social support.
Research limitations/implications
There is potential opportunity for EMS employers to minimize the impact of the opioid epidemic on EMS worker mental health. Trainings to highlight effectiveness of treatment should be further explored, along with ways to enhance social support and improve sleep for EMS workers to protect against the stress associated with responding to this public health crisis.
Originality/value
This study adds to the literature on the impact of the opioid epidemic as it relates to mental health outcomes for EMS professionals providing frontline care to those experiencing opioid use disorders.
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This article takes into account object identification, enhanced visual feature optimization, cost effectiveness and speed selection in response to terrain conditions. Neither…
Abstract
Purpose
This article takes into account object identification, enhanced visual feature optimization, cost effectiveness and speed selection in response to terrain conditions. Neither supervised machine learning nor manual engineering are used in this work. Instead, the OTV educates itself without instruction from humans or labeling. Beyond its link to stopping distance and lateral mobility, choosing the right speed is crucial. One of the biggest problems with autonomous operations is accurate perception. Obstacle avoidance is typically the focus of perceptive technology. The vehicle's shock is nonetheless controlled by the terrain's roughness at high speeds. The precision needed to recognize difficult terrain is far higher than the accuracy needed to avoid obstacles.
Design/methodology/approach
Robots that can drive unattended in an unfamiliar environment should be used for the Orbital Transfer Vehicle (OTV) for the clearance of space debris. In recent years, OTV research has attracted more attention and revealed several insights for robot systems in various applications. Improvements to advanced assistance systems like lane departure warning and intelligent speed adaptation systems are eagerly sought after by the industry, particularly space enterprises. OTV serves as a research basis for advancements in machine learning, computer vision, sensor data fusion, path planning, decision making and intelligent autonomous behavior from a computer science perspective. In the framework of autonomous OTV, this study offers a few perceptual technologies for autonomous driving in this study.
Findings
One of the most important steps in the functioning of autonomous OTVs and aid systems is the recognition of barriers, such as other satellites. Using sensors to perceive its surroundings, an autonomous car decides how to operate on its own. Driver-assistance systems like adaptive cruise control and stop-and-go must be able to distinguish between stationary and moving objects surrounding the OTV.
Originality/value
One of the most important steps in the functioning of autonomous OTVs and aid systems is the recognition of barriers, such as other satellites. Using sensors to perceive its surroundings, an autonomous car decides how to operate on its own. Driver-assistance systems like adaptive cruise control and stop-and-go must be able to distinguish between stationary and moving objects surrounding the OTV.
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Metehan Feridun Sorkun and Şükrü Özen
This study investigates how perceived political corruption, a generally overlooked corruption type, relates to firms' new product development (NPD) through perceived regulatory…
Abstract
Purpose
This study investigates how perceived political corruption, a generally overlooked corruption type, relates to firms' new product development (NPD) through perceived regulatory obstacles. It also examines firms' perceptions of business association support in this relationship, considering these associations' potential support for NPD.
Design/methodology/approach
This study conducted an empirical analysis of 1,663 firms in Turkey, a country noted for a history of legislative corruption, and in which there are strong business associations. Drawing the data from the World Bank's 2019 Enterprise Surveys Dataset, this study tested the hypotheses via the two-stage factor score regression method.
Findings
This study finds that perceived political corruption significantly relates to NPD negatively through perceived regulatory obstacles. It also finds that the perceived support of business associations to NPD is significantly greater when firms perceive regulatory obstacles but only slight political corruption.
Originality/value
As far as political corruption is concerned, this study reveals that corruption can also be the cause of regulatory obstacles, expanding the common view of corruption as a means of overcoming regulatory obstacles to NPD. In addition, it introduces the role of business associations in this relationship by revealing their support to NPD for different levels of perceived political corruption and regulatory obstacles.
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The purpose of this paper is to explore and examine the different word-of-mouth (WOM) acceptance and diffusion in social brand communities according to the level of…
Abstract
Purpose
The purpose of this paper is to explore and examine the different word-of-mouth (WOM) acceptance and diffusion in social brand communities according to the level of self-monitoring.
Design/methodology/approach
A web-based experimental design was used. The design consisted of three-mixed design of 2 (type of social networking sites) × 2 (type of online brand communities) × 2 (self-monitoring). ANOVA analysis was conducted.
Findings
Findings indicate that the differences in acceptance and diffusion of WOM according to online brand community type, and there was a significant three-way interaction effect. Specifically, people who have high propensity to self-monitor showed greater WOM acceptance in a consumer-driven community in either type of social networking sites while people who have low propensity to self-monitor showed greater WOM diffusion in a consumer-driven community only in interest-based social networking sites.
Practical implications
An important implication is that the social networking sites where brand communities can be placed should be chosen with the full consideration of different desires consumers have in terms of their level of self-monitoring to increase WOM effects.
Originality/value
This paper proposes the self-monitoring tendency as the key factor that predicts WOM effects with revealing the optimal combination of types of social networking sites and online brand communities that is most preferable for consumers with different self-monitoring level.