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1 – 10 of 165Christopher Amaral, Ceren Kolsarici and Mikhail Nediak
The purpose of this study is to understand the profit implications of analytics-driven centralized discriminatory pricing at the headquarter level compared with sales force price…
Abstract
Purpose
The purpose of this study is to understand the profit implications of analytics-driven centralized discriminatory pricing at the headquarter level compared with sales force price delegation in the purchase of an aftermarket good through an indirect retail channel with symmetric information.
Design/methodology/approach
Using individual-level loan application and approval data from a North American financial institution and segment-level customer risk as the price discrimination criterion for the firm, the authors develop a three-stage model that accounts for the salesperson’s price decision within the limits of the latitude provided by the firm; the firm’s decision to approve or not approve a sales application; and the customer’s decision to accept or reject a sales offer conditional on the firm’s approval. Next, the authors compare the profitability of this sales force price delegation model to that of a segment-level centralized pricing model where agent incentives and consumer prices are simultaneously optimized using a quasi-Newton nonlinear optimization algorithm (i.e. Broyden–Fletcher–Goldfarb–Shanno algorithm).
Findings
The results suggest that implementation of analytics-driven centralized discriminatory pricing and optimal sales force incentives leads to double-digit lifts in firm profits. Moreover, the authors find that the high-risk customer segment is less price-sensitive and firms, upon leveraging this segment’s willingness to pay, not only improve their bottom-line but also allow these marginalized customers with traditionally low approval rates access to loans. This points out the important customer welfare implications of the findings.
Originality/value
Substantively, to the best of the authors’ knowledge, this paper is the first to empirically investigate the profitability of analytics-driven segment-level (i.e. discriminatory) centralized pricing compared with sales force price delegation in indirect retail channels (i.e. where agents are external to the firm and have access to competitor products), taking into account the decisions of the three key stakeholders of the process, namely, the consumer, the salesperson and the firm and simultaneously optimizing sales commission and centralized consumer price.
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Verdiana Giannetti, Jieke Chen and Xingjie Wei
Anecdotal evidence suggests that casting actors with similar facial features in a movie can pose challenges in foreign markets, hindering the audience's ability to recognize and…
Abstract
Purpose
Anecdotal evidence suggests that casting actors with similar facial features in a movie can pose challenges in foreign markets, hindering the audience's ability to recognize and remember characters. Extending developments in the literature on the cross-race effect, we hypothesize that facial similarity – the extent to which the actors starring in a movie share similar facial features – will reduce the country-level box-office performance of US movies in East and South-East Asia (ESEA) countries.
Design/methodology/approach
We assembled data from various secondary data sources on US non-animation movies (2012–2021) and their releases in ESEA countries. Combining the data resulted in a cross-section of 2,616 movie-country observations.
Findings
Actors' facial similarity in a US movie's cast reduces its box-office performance in ESEA countries. This effect is weakened as immigration in the country, internet penetration in the country and star power increase and strengthened as cast size increases.
Originality/value
This first study on the effects of cast's facial similarity on box-office performance represents a novel extension to the growing literature on the antecedents of movies' box-office performance by being at the intersection of the two literature streams on (1) the box-office effects of cast characteristics and (2) the antecedents, in general, of box-office performance in the ESEA region.
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Chris Williams, Jacqueline Jing You and Nathalie Spielmann
The study explores the relationship between the breadth of external pressures facing leaders of small and medium-sized enterprises (SMEs) and the entrepreneurial stance they adopt…
Abstract
Purpose
The study explores the relationship between the breadth of external pressures facing leaders of small and medium-sized enterprises (SMEs) and the entrepreneurial stance they adopt for their firm, that is, entrepreneurial orientation (EO).
Design/methodology/approach
Blending attention theory with EO literature, we argue that increasing breadth of external pressures will challenge leaders' attentions with implications for how they seek innovation, risk-taking and bold acts. We highlight an inflection point after which a negative relationship between the breadth of external pressure and EO will turn positive. We use data from a survey of 125 small-sized wineries in France to test this and capture a range of 15 external pressures on entrepreneurs.
Findings
The main tests and additional robustness tests provide support. It is the breadth of external pressures – as opposed to intensity of any one specific form of pressure – that plays a fundamental role in shaping leaders' adoption of EO in small enterprises over and above internal characteristics.
Research limitations/implications
While the results may be context-dependent, they provide support for an attention-based view of entrepreneurial responses by leaders of SMEs under pressure.
Practical implications
SME leaders and entrepreneurs should be aware of how their attention is challenged by breadth of pressures from external sources, as this can influence the EO they adopt for their SME.
Originality/value
This nonlinear perspective on external pressures influencing the EO of small firms has not been taken in the EO literature to date, despite some recent work that considers only a small range of external pressures.
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Vaishali Sangwan and Moutusy Maity
Emerging economies are dominated by an unorganized retail landscape, with complex sociocultural norms dictating the behavior of retailers and customers. The purpose of this paper…
Abstract
Purpose
Emerging economies are dominated by an unorganized retail landscape, with complex sociocultural norms dictating the behavior of retailers and customers. The purpose of this paper is to explore the phenomenon of consumer embarrassment in an emerging marketing, India.
Design/methodology/approach
This research adopts a grounded theory approach and undertakes 31 in-depth interviews with consumers in India. The data is analyzed inductively and iteratively simultaneously with data collection.
Findings
The study uncovers that sociocultural normative influences, the retail environment’s structural constraints, interaction-based buying processes and customers’ perceptions play a role in eliciting embarrassment in traditional stores. The traditional format retailers play a significant role in evoking embarrassment and, surprisingly, also in facilitating coping. Contrary to the extant findings, purchasing embarrassing products online may not ensure anonymity and elicit embarrassment. The findings contribute to understanding the phenomenon of embarrassment in emerging markets.
Originality/value
There is a dearth of research examining consumer embarrassment in emerging markets, with extant studies investigating the phenomenon in the modern retail setup of developed economies. The retail landscape of India is predominantly unorganized, with distinct transactional processes and physical characteristics that are starkly different from modern retail stores. Moreover, sociocultural normative forces have distinct influences on the informal setup of unorganized retail.
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Guosheng Deng, Wei Zhang, Zhitao Wu, Minglei Guan and Dejin Zhang
Step length is a key factor for pedestrian dead reckoning (PDR), which affects positioning accuracy and reliability. Traditional methods are difficult to handle step length…
Abstract
Purpose
Step length is a key factor for pedestrian dead reckoning (PDR), which affects positioning accuracy and reliability. Traditional methods are difficult to handle step length estimation of dynamic gait, which have larger error and are not adapted to real walking. This paper aims to propose a step length estimation method based on frequency domain feature analysis and gait recognition for PDR, which considers the effects of real-time gait.
Design/methodology/approach
The new step length estimation method transformed the acceleration of pedestrians from time domain to frequency domain, and gait characteristics of pedestrians were obtained and matched with different walking speeds.
Findings
Many experiments are conducted and compared with Weinberg and Kim models, and the results show that the average errors of the new method were improved by about 2 meters to 5 meters. It also shows that the proposed method has strong stability and device robustness and meets the accuracy requirements of positioning.
Originality/value
A sliding window strategy used in fast Fourier transform is proposed to implement frequency domain analysis of the acceleration, and a fast adaptive gait recognition mechanism is proposed to identify gait of pedestrians.
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Tyler N. A. Fezzey and R. Gabrielle Swab
Competitiveness is an important personality trait that has been studied in various disciplines and has been shown to predict critical work outcomes at the individual level…
Abstract
Competitiveness is an important personality trait that has been studied in various disciplines and has been shown to predict critical work outcomes at the individual level. Despite this, the role of competitiveness in groups and teams has received scant attention amongst organizational researchers. Aiming to promote future research on the role of competitiveness as both an adaptive and maladaptive trait – particularly in the context of work – the authors review competitiveness and its effects on individual and team stress and Well-Being, giving special attention to the processes of cohesion and conflict and situational moderators. The authors illustrate a dynamic multilevel model of individual and team difference factors, competitive processes, and individual and team outcomes to highlight competitiveness as a consequential occupational stressor. Furthermore, the authors discuss the feedback loops that inform the different factors, highlight important avenues for future research, and offer practical solutions for managers to reduce unhealthy competition.
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This article shows how different data sources can be combined to learn about the evolution of gender norms over time. First, data on job advertisements from 1950 up to 2020 reveal…
Abstract
This article shows how different data sources can be combined to learn about the evolution of gender norms over time. First, data on job advertisements from 1950 up to 2020 reveal that there was a significant change among Swiss employers' stated preferences regarding their prospective employees' gender. More specifically, the proportion of gender-neutral job posts increased from five to almost 95% within the observation period. To further corroborate and contextualize this finding, I complement it with time series on the relative frequency of several specific queries, such as equality between men and women, from Google's German language book corpus. These additional series are broadly consistent with the evolution of the share of gender-neutral job posts. However, it also appears that there are two distinct narratives, one concerned with the personal sphere, identity, and intimate relationships, the other with the political and public realm. Interestingly, the narrative on personal relations set off considerably earlier than the change in the proportion of gender-neutral job ads. Overall, the evidence from the different data series shows that gender norms have changed substantively, yet in a complex manner, over the past decades.
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Noel Scott, Brent Moyle, Ana Cláudia Campos, Liubov Skavronskaya and Biqiang Liu
Frankie J. Weinberg and Mary M. Hausfeld
We examine the relationships between clients’ level of coaching readiness and trust in their executive coach and increases to both personal learning improved work performance…
Abstract
Purpose
We examine the relationships between clients’ level of coaching readiness and trust in their executive coach and increases to both personal learning improved work performance. Distance relationships, the setting for this study, epitomize the norms of the New World of Work (NWoW), but also provide particular challenges for building trust and recognizing similarities between client and coach.
Design/methodology/approach
This study investigates distance coaching relationships in matched-pairs, longitudinal investigation of formal executive coaching.
Findings
Results support the proposed moderated mediation path. Findings reveal that both coaches’ perceptions of client readiness for coaching and client trust in coach each predict both client personal skill development and performance improvement.
Research limitations/implications
While important toward gaining a better understanding of the relational functioning of distance coaching relationships, inclusion of only distance relationships may truncate the generalizability of our findings.
Practical implications
The study’s findings have practical implications for organizations that invest in executive coaching with regard to the importance of evaluating the candidates' readiness for coaching before the assignment, trust-building throughout distance coaching relationships and perceptions of similarity on client coaching outcomes.
Originality/value
Distance relationships, the setting for this study, provide particular challenges for building trust and recognizing similarities between client and coach and the current investigation points to the relevance of these relational mechanisms to client outcomes. In so doing, this study explores how perceptions of deep-level similarity between a coach and client may serve as moderators of these relationships.
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