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Article
Publication date: 2 January 2025

Milad Mohammadi Darani and Sina Aghaie

The study aims to investigate how recommender systems shape providers’ dynamics and content offerings on platforms, and to provide insights into algorithm designs for achieving…

Abstract

Purpose

The study aims to investigate how recommender systems shape providers’ dynamics and content offerings on platforms, and to provide insights into algorithm designs for achieving better outcomes in platform design.

Design/methodology/approach

This study employs a multi-agent simulation framework coupled with reinforcement learning models to examine the influence of different recommender system designs on providers’ perception of demand and platform content.

Findings

The study reveals that recommender systems have the potential to introduce biases in providers’ understanding of user preferences, thereby impacting the variety of offerings on platforms. Moreover, it identifies algorithm design as a critical factor, with item-based collaborative filters showcasing superior performance in contexts where customers exhibit selectivity. Conversely, user-based models prove more effective in scenarios where recommendations significantly sway user decisions, ultimately boosting sales.

Practical implications

In practical terms, these insights can guide platform developers in making informed decisions regarding the selection and implementation of recommender system algorithms. By tailoring algorithm choices to specific contexts, platforms can enhance user welfare, ultimately leading to improved platform performance and profitability.

Originality/value

The findings underscore the importance of integrating provider dynamics and algorithmic biases into the design of recommender systems and platforms. This highlights avenues for future research to explore and refine our understanding of these dynamics.

Details

Journal of Research in Interactive Marketing, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2040-7122

Keywords

Article
Publication date: 18 July 2024

Ata Karbasi, Maryam Mahdikhani, Melanie Gerschberger and Sina Aghaie

This study applies organizational information processing theory (OIPT) to investigate managing production process variability in uncertain environments using information…

Abstract

Purpose

This study applies organizational information processing theory (OIPT) to investigate managing production process variability in uncertain environments using information technology (IT) capabilities.

Design/methodology/approach

We conduct an empirical analysis using the three-stage least squares (3SLS) technique on 1,612 manufacturing firms over ten years.

Findings

The findings show that IT capability plays a dual role: it reduces the positive impact of environmental uncertainty on production process variability and mitigates the negative relationship between production process variability and operational performance.

Practical implications

Our findings suggest that managers should focus on reducing production process variability by strengthening their firms' IT capabilities. This is particularly crucial in volatile environments where external uncertainties can significantly impact operational processes.

Originality/value

Variability in the production process is a significant source of inefficiency and disruption within business processes. Using OIPT, our study contributes to the field by empirically analyzing the role of IT capabilities in reducing production process variability under environmental uncertainty.

Details

Business Process Management Journal, vol. 30 no. 6
Type: Research Article
ISSN: 1463-7154

Keywords

Article
Publication date: 16 October 2024

Sina Aghaie, Omid Kamran-Disfani, Milad Darani and Mohammad Mike Saljoughian

The purpose of this study is to investigate how incumbent firms’ marketing deterrence strategies, price-cuts and quality improvement, influence potential entrants’ (PEs) entry…

Abstract

Purpose

The purpose of this study is to investigate how incumbent firms’ marketing deterrence strategies, price-cuts and quality improvement, influence potential entrants’ (PEs) entry timing into incumbents’ markets and examine the moderating role of incumbents’ market-level resources and capabilities (R&Cs).

Design/methodology/approach

To test the hypotheses, an accelerated failure time model is applied to a rich data set of entry threats between 1997 and 2019 in the US airline industry.

Findings

The findings show that while quality improvements delay PEs’ entry, price-cuts expedite it. Furthermore, PEs are more likely to be deterred by price-cuts when incumbents possess high market-level R&Cs. However, such R&Cs do not moderate the link between incumbents’ quality improvement and PEs’ entry timing.

Research limitations/implications

Market entry in this research is conceptualized and defined as a large resource deployment into a market and operationalized as a binary variable. However, PEs might rather choose a minor resource deployment instead to establish a foothold in new markets. It would be fruitful for future research to examine various levels of participation in a new market and examine how the incumbents’ marketing deterrence strategies affect PEs’ entry timing. Doing so would provide us with a deeper understanding of the difference between actual/full market entry and micro/minor market entry.

Practical implications

This research examines the impact of incumbents’ marketing deterrence strategies in a contingency framework and highlights the crucial role of R&Cs in implementing such deterrence strategies. Doing so provides actionable insights to managers who craft strategies to protect their markets against PEs.

Originality/value

Previous research illustrates that incumbent firms commonly respond to competitors’ entry threats by cutting prices and improving quality. While antecedents of these deterrence strategies have been extensively investigated, the consequences have yet to be empirically examined.

Details

European Journal of Marketing, vol. 58 no. 10
Type: Research Article
ISSN: 0309-0566

Keywords

Article
Publication date: 13 May 2022

Sina Aghaie, Omid Kamran-Disfani, Amir Javadinia, Maryam Farhang and Ashok Bhattarai

The purpose of this study is to empirically investigate the impact of incumbents’ defensive strategies, specifically price-cut and capacity expansion, on new entrants’ (NEs) exit…

Abstract

Purpose

The purpose of this study is to empirically investigate the impact of incumbents’ defensive strategies, specifically price-cut and capacity expansion, on new entrants’ (NEs) exit decisions and examine the moderating role of incumbents’ relational market-based assets (RMBAs).

Design/methodology/approach

Drawing upon real options theory, an empirical study using logistic regression is conducted on a rich, multi-market data set of NE exits between 1997 and 2019 in the U.S. airline industry.

Findings

Contrary to intuitive expectation, the results show that cutting prices in response to entry reduces NEs’ likelihood of market exit. However, when incumbents possess strong RMBAs, using a price cut proves to be effective in pushing NEs out of a market. Moreover, an NEs’ exit likelihood is higher when incumbents expand capacities in response to entry.

Research limitations/implications

In this study, market exit is defined as a complete withdrawal from the market and operationalized as a binary variable. Future research could examine different degrees of downscaling by NEs while remaining in the market.

Practical implications

This research demonstrates the opposing effects of price-cut and capacity expansion and the crucial role of RMBAs and advises managers to be cautious and consider trade-offs when implementing their defensive strategies to push NEs out of their markets.

Originality/value

This study contributes to the literature by examining the impact of incumbents’ defensive strategies, price-cut and capacity expansion, side by side and exploring the moderating role of RMBAs. Extant research has focused on antecedents of defensive strategies, whereas the consequences are the focus of this research.

Details

European Journal of Marketing, vol. 56 no. 5
Type: Research Article
ISSN: 0309-0566

Keywords

Article
Publication date: 11 February 2021

Ahlam Ibrahim Al-Harbi and Nada Saleh Badawi

This study aims to investigate the influence of online opinion leadership and opinion seeking the intention to purchase and purchase behaviour of organic food in Saudi Arabia.

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Abstract

Purpose

This study aims to investigate the influence of online opinion leadership and opinion seeking the intention to purchase and purchase behaviour of organic food in Saudi Arabia.

Design/methodology/approach

This study used an online questionnaire as a method to collect data from Instagram users in Saudi Arabia. Statistical analysis was performed using the SmartPLS to test the research model.

Findings

The study demonstrates the links between the perceived benevolence of the opinion leadership through Instagram and purchase behaviour of organic food and between opinion seeking and intention to purchase.

Practical implications

This study provides insights into the favourable impact of opinion leadership and opinion seeking on consumers’ intention to purchase and purchase behaviour for marketers, especially in the organic food sector of a Middle Eastern context.

Originality/value

Prior studies have investigated the impact of opinion leadership and opinion seeking on purchase behaviour, but not within the organic food sector. This study attempts to fill this gap in the literature by providing useful insights to enhance the understanding of the influence of online opinion leadership on purchase behaviour of organic food. This study also makes a valuable contribution to organic food research in Middle East countries, where there is a lack of research on organic food purchase behaviour.

Details

Journal of Islamic Marketing, vol. 13 no. 6
Type: Research Article
ISSN: 1759-0833

Keywords

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