The impact of attitudinal ambivalence on information processing and resistance to anti-smoking persuasion

2017 ◽  
Vol 9 (1) ◽  
pp. 2-19 ◽  
Author(s):  
Fayçal Boukamcha
Keyword(s):  
Information Processing ◽  
Persuasive Message ◽  
Content Type ◽  
Linear Effect ◽  
Processing Styles ◽  
Emotional Appeal ◽  
Resistance To Persuasion ◽  
Attitudinal Ambivalence ◽  
Analytical Processing ◽  
The Impact

Purpose This paper aims to clarify the effect of attitudinal ambivalence on resistance to anti-smoking persuasion through information processing styles. It was hypothesized that a high smoker’s ambivalence, induced by an anti-smoking persuasive message, triggers among smokers both a reflective and a non-reflective information processing. In turn, both the information processing styles were supposed to be predictors of the resistance to anti-smoking persuasion. Design/methodology/approach An experiment and a survey were conducted on a random sample of 347 smokers in this regard. Findings The findings indicated that smokers feel ambivalent toward anti-smoking messages in print ads and tend to process them both analytically and superficially. Also, it seems that only the analytical processing triggers resistance to anti-smoking persuasion. Originality/value The author reports on the importance of attitudinal ambivalence and information processing in the resistance to anti-smoking persuasion process. The paper should be of interest to readers in the areas of health communication and social marketing. This work seems to be important to the extent that few works have highlighted the causal and linear effect of a persuasive anti-smoking message on smokers’ ambivalence, information processing and resistance to persuasion. The findings in this paper seem interesting insofar, as they show the importance of the negative emotional appeal in the ambivalence, analytical information processing and resistance triggering.

scholarly journals Competition, performance and financial stability in US agricultural banking

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Madhav Regmi ◽  
Allen M. Featherstone
Keyword(s):  
Market Power ◽  
Financial Stability ◽  
Relationship Lending ◽  
Net Income ◽  
Bank Competition ◽  
Content Type ◽  
Linear Effect ◽  
And Performance ◽  
The Impact ◽  
Agricultural Banking

PurposeThe number of US commercial banks has declined by about 50% over the last two decades. This change could lead to a potential decline in competition and a potential increase in market power in the agricultural banking market. The focus of this study is to examine whether the risk of failure and the performance of agricultural banks has been affected by bank consolidations.Design/methodology/approachThe impact of bank competition on performance and financial stability of agricultural banks is studied using a Lerner index as a measure of market power. A Z-score is constructed to measure bank stability. Similarly, the return on assets (net income to total assets ratio), return on equity (net income to the total equity ratio), agricultural loan ratio and agricultural loan volume are used as performance measures for agricultural banks. Two-way fixed effect regression models are estimated to measure the impact of competition on financial stability and performance.FindingsResults indicate that bank competition has a U-shaped effect on the probability of default and an inverted U-shaped effect on volume and proportion of agricultural lending. There also exists evidence of a positive but non-linear effect of bank market power on the profitability of agricultural banks.Originality/valueThere is limited literature on the impact of bank competition on financial stability and performance of US agricultural banks. Agricultural banks hold more than 40% of US farm debt. A decrease in the number of banks or the level of competition in agricultural banking may cause an adverse effect on relationship lending. The key findings imply that bank regulatory strategies should focus on enhancing (reducing) competition in more (less) concentrated banking markets to improve the financial health and performance of agricultural banks.

scholarly journals Complexity and the triple bottom line: an information-processing perspective

2017 ◽  
Vol 37 (9) ◽  
pp. 1142-1163 ◽  
Author(s):  
Frank Wiengarten ◽  
Muhammad Usman Ahmed ◽  
Annachiara Longoni ◽  
Mark Pagell ◽  
Brian Fynes
Keyword(s):  
Information Processing ◽  
Financial Performance ◽  
Structural Equation ◽  
Negative Impact ◽  
Triple Bottom Line ◽  
Structural Equations ◽  
Equation Modeling ◽  
Bottom Line ◽  
Content Type ◽  
The Impact

Purpose The purpose of this paper is to empirically investigate the impact of complexity on the triple bottom line by applying information-processing theory. Specifically, the paper assesses the impact of internal manufacturing complexity on environmental, social, and financial performance. Furthermore, the paper assesses the moderating role of connectivity and shared schema in reducing the potential negative impact of complexity on performance. Design/methodology/approach Multi-country survey data collected through the Global Manufacturing Research Group were utilized to test the hypotheses. The authors used structural equation modeling to test the measurement and initial structural model. Furthermore, to test the proposed moderating hypotheses, the authors applied the latent moderated structural equations approach. Findings The results indicate that while complexity has a negative impact on environmental and social performance, it does not significantly affect financial performance. Furthermore, this negative impact can be reduced, to some extent, through connectivity; however, shared schema does not significantly impact on the complexity-performance relationship. Originality/value This study presents a comprehensive analysis of the impact of complexity on sustainability. Furthermore, it provides managerial applications as it proposes specific tools to deal with the potential negative influences of complexity.

Lemons problem in collaborative consumption platforms

2018 ◽  
Vol 28 (3) ◽  
pp. 746-766 ◽  
Author(s):  
Joonheui Bae ◽  
Dong-Mo Koo
Keyword(s):  
Information Processing ◽  
Information Search ◽  
Intention To Use ◽  
Collaborative Consumption ◽  
Content Type ◽  
Processing Styles ◽  
Cognitive Information Processing ◽  
Other Information ◽  
Cognitive Information ◽  
Textual Cues

Purpose Most of the research on collaborative consumption platforms (CCPs) has focused on motivational drives, and little research has been conducted on the problem of unbalanced information sharing, also known as the “lemons problem,” and signals. The paper aims to discuss these issues. Design/methodology/approach This study conducted a netnography and an experiment. Findings The netnographic study showed that participants tend to use low ratings and negative reviews as cues implying more searches, use ratings as an anchor to adjust other information, and employ differing cognitive information-processing styles. The experimental results show that, in a normal environment (when ratings are high), visualizers (verbalizers) have more of an intention to use CCPs when they are exposed to abundant pictures (textual cues); however, when the cues lead to a further information search (when the ratings are low), this search behavior pattern is reversed: visualizers (verbalizers) have more of an intention to use CCPs when they are exposed to abundant textual cues (pictures). Research limitations/implications This study extends previous research by showing that people frequently use differing heuristics depending on the context; that ratings have an anchoring effect and guide people in selecting a signal to use and condition how they use it; and that visualizers prefer text cues to pictorial cues when trying to make informed decisions under a condition that points to a further information search. These results are opposite of previous assertion. Practical implications Marketers are advised to provide a mechanism by which users can extract the cues they need and reduce the less urgent ones; devise a mechanism that screens participants and divides them into two categories: those who post honest evaluations and those who do not; and reduce the opportunistic behaviors of partners on both sides. Originality/value The current study addresses consumers’ use of information posted by other consumers on CCPs and demonstrates that participants use low ratings and negative reviews as cues implying more searches, use ratings as an anchor to adjust other information, and employ differing cognitive information-processing styles. Previous research rarely addressed these information search behaviors of consumers on CCPs.

Internet of Things – the future of managing supply chain risks

2020 ◽  
Vol 25 (5) ◽  
pp. 535-548 ◽  
Author(s):  
Hendrik Sebastian Birkel ◽  
Evi Hartmann
Keyword(s):  
Supply Chain ◽  
Information Processing ◽  
Internet Of Things ◽  
Manufacturing Industry ◽  
Radical Change ◽  
Data Availability ◽  
Information Requirements ◽  
Case Study Methodology ◽  
Content Type ◽  
The Impact

Purpose The purpose of this paper is to investigate the implications for supply chain risk management (SCRM) by applying internet of things (IoT). Therefore, the impact and effects on the SCRM process, as well as the internal and external pathway and the outcome of SCRM are examined. Design/methodology/approach This study adopts a multiple case study methodology with twelve companies from the manufacturing industry. This study is guided by the information processing theory (IPT) and a theory-grounded research framework to provide insights into information requirements and information processing capabilities for IoT-supported SCRM. Findings The studied cases demonstrate an increase in data availability in the companies that contribute to improved process transparency and process management. Furthermore, the process steps, risk transparency, risk knowledge and risk strategies have been enhanced, which enabled improved SCRM performance by fitting information requirements and information processing capabilities, thus allowing for competitive advantage. Practical implications This study offers in-depth insights for SCRM managers into the structure of IoT systems, primary use cases and changes for the process itself. Furthermore, implications for employees, incentives and barriers are identified, which could be used to redesign SCRM. Originality/value This study addresses the requirement for additional empirical research on technology-enhanced SCRM, supported by IPT as a theoretical foundation. The radical change of SCRM by IoT is demonstrated while discussing the human role, implications for SCRM strategies and identifying relevant topics for future development.

Dilemma of Hotel Reviews: The Role of Information Processing and Validation through Metacognition

2020 ◽  
pp. 004728752093886
Author(s):  
GuoQiong Ivanka Huang ◽  
IpKin Anthony Wong ◽  
Rob Law
Keyword(s):  
Social Support ◽  
Information Processing ◽  
Personal Information ◽  
Online Reviews ◽  
Social Forces ◽  
Social Commerce ◽  
Persuasive Message ◽  
Online Social Support ◽  
The Impact

A comprehensive model is proposed to understand how travelers manage copious and even competing online reviews through a validation process, by examining the impact of social support, persuasive message compliance, persuasive message resistance, and metacognition on tourists’ willingness to be involved in social commerce. Based on the theories of signaling and reactance, the model explores how social forces, such as online social support and personal information-processing drivers (i.e., information processing and validating procedure), can explain customers’ social commerce intentions. A survey of tourists in 61 mid- to high-end hotels indicates that social support is positively related to persuasive message compliance, resistance, and social commerce intention. The findings indicate that persuasive message compliance and resistance mediate the relationship between social support and social commerce intention, whereas the mediation relationships are conditioned on metacognition.

Enabling integrated business planning through big data analytics: a case study on sales and operations planning

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Alexander Schlegel ◽  
Hendrik Sebastian Birkel ◽  
Evi Hartmann
Keyword(s):  
Big Data ◽  
Information Processing ◽  
Data Analytics ◽  
Single Case ◽  
Big Data Analytics ◽  
Business Planning ◽  
Operations Planning ◽  
Content Type ◽  
The Impact

PurposeThe purpose of this study is to investigate how big data analytics capabilities (BDAC) enable the implementation of integrated business planning (IBP) – the advanced form of sales and operations planning (S&OP) – by counteracting the increasing information processing requirements.Design/methodology/approachThe research model is grounded in the organizational information processing theory (OIPT). An embedded single case study on a multinational agrochemical company with multiple geographically distinguished sub-units of analysis was conducted. Data were collected in workshops, semistructured interviews as well as direct observations and enriched by secondary data from internal company sources as well as publicly available sources.FindingsThe results show the relevancy of establishing BDAC within an organization to apply IBP by providing empirical evidence of BDA solutions in S&OP. The study highlights how BDAC increase an organization's information processing capacity and consequently enable efficient and effective S&OP. Practical guidance toward the development of tangible, human and intangible BDAC in a particular sequence is given.Originality/valueThis study is the first theoretically grounded, empirical investigation of S&OP implementation journeys under consideration of the impact of BDAC.

scholarly journals The inverse relation between risks and benefits: The impact of individual differences in information processing style

PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0255569
Author(s):  
Patrycja Sleboda ◽  
Carl Johan Lagerkvist
Keyword(s):  
Information Processing ◽  
Cognitive Processing ◽  
Dual Process ◽  
Processing Style ◽  
Processing Styles ◽  
Affect Heuristic ◽  
Risks And Benefits ◽  
Food Applications ◽  
Dual Process Theories ◽  
The Impact

Existing research shows that evaluations of the risks and benefits of various hazards (i.e., technologies and activities) are inversely related. The affect heuristic explains the negative relation between risks and benefits, as based on the strength of positive or negative affect associated with a hazard. Research on the affect heuristic previously investigated under which conditions people judge risk and benefits independently, focusing on expertise as a factor that might exempt from inversely related judgements of risk and benefits. Measurements within Dual Process Theories have been found to be associated with rational, analytical decision making and accurate judgments. In this paper we investigated the extent to which rational information processing styles can predict the risk-benefit relation of technologies in a medical and food applications and whether the attitudes influence the strength or direction of the relationship. Using the Need for Cognition Scale (NFC), a psychometric-based risk scale and an explicit measure of attitude, in a representative sample of 3228 Swedes, we found that the high NFC group judged the risks and benefits of technologies to be inversely related. In contrast, the low NFC group judged the risks and benefits to be positively related. These results were confirmed across all studied technologies by applying moderation analysis. We discuss the results in light of recent research on cognitive processing and polarization over technologies’ risks.

Mind the attention gap: how does digital advertising impact choice under low attention?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Irene Santoso ◽  
Malcolm J. Wright ◽  
Giang Trinh ◽  
Mark Avis
Keyword(s):  
Design Methodology ◽  
Future Research ◽  
Marketing Communication ◽  
Content Type ◽  
Emotional Appeal ◽  
Advertising Strategies ◽  
Naturalistic Environment ◽  
The Impact ◽  
Brand Consideration ◽  
Practical Implications

Purpose This study aims to investigate whether digital advertising can be effective despite consumer inattention and how certain common combinations of ad characteristics increase or decrease ad effectiveness under conditions of low attention. Design/methodology/approach Using two online experiments in naturalistic environment, the authors compare ad effects under focussed, divided and incidental attention, for certain ad characteristics, namely, appeal type and (mis)matching between appeal and brand type. The results are analysed using logistic regression. Findings Ad exposure under low attention does increase brand consideration and choice. The greatest uplift in impact occurs when moving from non-exposure to incidental attention. Under incidental attention, emotive advertising was more effective than rational advertising, as was matching rather than mismatching an emotional appeal to a hedonic brand. Conversely, under divided attention, rational advertising and mismatching a rational appeal to a hedonic brand were more effective. Research limitations/implications This research explores the effectiveness of Twitter ads with an emotional or a rational appeal and the (mis)matching between appeal and utilitarian or hedonic brand type. Future research can examine other formats and creative elements of digital advertising that can affect the low-attention processing and the effects that occur. Practical implications Intrusive, attention-getting advertising strategies may not be necessary. Certain common creative devices can increase advertising effectiveness despite low attention, so marketers can ensure consumer-centric marketing communication. Originality/value There has previously been limited understanding of low-attention mechanisms in advertising and little evidence of ad effectiveness under conditions of low attention. The research also demonstrates that certain ad characteristics, linked to common creative devices, enhance the impact of advertising despite low attention.

Team social media usage and intra-team competition and cooperation: a social information processing perspective

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shuqin Zhang ◽  
Qian Huang ◽  
Hefu Liu ◽  
Youying Wang
Keyword(s):  
Social Media ◽  
Information Processing ◽  
Social Information Processing ◽  
Social Information ◽  
Content Type ◽  
Team Cooperation ◽  
Media Usage ◽  
Cooperation And Competition ◽  
The Social ◽  
The Impact

PurposeThis study aims to explore how team task-related social media usage (TSMU) and social-related social media usage (SSMU) affect employees' perceptions of intra-team cooperation and competition and further individual creativity.Design/methodology/approachThis study conducted a questionnaire survey on enterprises in China that have implemented social media and obtained 348 useable questionnaires from 55 work teams.FindingsThe results revealed that employees' perceptions of intra-team cooperation and competition can promote employees' creativity. Employees' cooperation perception can be significantly positively affected by TSMU and SSMU, whereas employees' competition perception can be significantly positively affected by TSMU. Regarding congruence, the results indicated that the more balanced between TSMU and SSMU, the stronger the competition perception.Practical implicationsManagers should pay critical attention to the role of team social media usage (SMU) in shaping employees' perceptions of their team environments. They should realize the different outcomes and the joint effects of the different types of SMU.Originality/valueThis study contributes to the social media literature by explaining the impact of team SMU on employees' perceptions and evaluations of team environments based on the social information processing theory. The study presents the relationships among team SMU, employees' perceptions of cooperation and competition and employee creativity. Moreover, this study expands research on the trade-off of SMU by exploring the impact of balanced and imbalanced SMU in a work team.

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