bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analyzing pharmaceutical industry risks under uncertainty for performance improvement: an Indian scenario
Authors: Sharma Astha , Kumar Dinesh , Arora Navneet 
Published: September 2023

PurposeThe pharmaceutical industry faces multiple risks that adversely affect its performance. Within these risks, some dependencies have been observed, which help in streamlining the mitigation efforts. Therefore, the present work identifies and categorizes various risks/sub-risks in cause–effect groups, considering uncertainty in the decision-making process.Design/methodology/approachAn extensive literature review and experts' opinions were utilized to identify and finalize the risks faced by the pharmaceutical industry. For further analysis, data collection was done using a questionnaire focusing on finalized risks. Based on the data, the causal relation under uncertainty between various risks/sub-risks was identified using a multi-criteria decision making (MCDM) technique, i.e. intuitionistic fuzzy DEMATEL, in a pairwise manner.FindingsThe results show that the three most prominent risk categories are operational, demand/customer/market and financial. Also, out of the seven main risks, only supplier and operational are categorized within the effect group and the rest, i.e. financial, demand, logistics, political and technology within the cause group. The sub-risks within each category have also been categorized into cause–effect groups. The mitigation of cause group risks will help in economize the financial resources and improve the performance and resilience of the industry.Originality/valueThere is insufficient research on identifying the causality among the pharmaceutical industry risks. Additionally, an extensive discussion on the identified cause–effect groups is also missing in the literature. Therefore, in this work, efforts have been made to determine the prominent risks for the Indian pharmaceutical industry that will be helpful for channelizing the resources to mitigate risks for a resilient industry.
Anti-racism in my pocket: mobilizing women, technology and privilege to support systemic equity
Authors: Grier Sonya A. , Porter Bea V. 
Published: September 2023

Social implications
The “Anti-Racism in my Pocket” case illustrates how collaborative entrepreneurial leadership can build on personal experiences, expertise and a desire to change the status quo to support racial equity. The case will support students’ critical thinking skills and further heighten their understanding of the contributions of women in leadership, anti-racism and the role of technology. Moreover, the case is motivating for students with aspirations of using business skills and knowledge to contribute to social equity.

Learning outcomes
After completing this case, students should be able to identify the role of marketing in the development, implementation and evaluation of a behavior change initiative, the Anti-Racism Action Nuggets anti-racism training program; analyze qualitative and quantitative data to assess the impact of the Anti-Racism Action Nuggets Pilot using a logic model; identify marketing opportunities, challenges and strategies to scale the Anti-Racism Action Nuggets series for a broader impact; and discuss the relationship of gender in strategic positioning and marketing leadership to the development of the Anti-Racism Action Nuggets (Optional).

Case overview/synopsis
This case charts the development of an anti-racism training series by two friends, Allison Plyer (she/her) and Valerie (Val) Uccellani (she/her), called Anti-Racism Action Nuggets. The two protagonists aimed to change individual behaviors to reduce structural racism through lessons that were delivered in text messages to participants. Once the course is completed, they conduct a test pilot with members of NOW, LOVE, a women’s organization in New Orleans, Louisiana. At the end of the case, students are provided with the qualitative and quantitative pilot data for their analysis to recommend next steps and important marketing considerations for the Anti-Racism Action Nuggets series.

Complexity academic level
Undergraduate, graduate and executive education

Supplementary materials
Teaching notes are available for educators only.

Subject code
CCS 8: Marketing
Optimal coalition splitting with heterogenous strategies
Authors: Boucekkine Raouf , Camacho Carmen , Ruan Weihua , Zou Benteng 
Published: September 2023

PurposeThe authors characterize the conditions under which a country may eventually split and when it splits within an infinite horizon multi-stage differential game.Design/methodology/approachIn contrast to the existing literature, the authors do not assume that after splitting, players will adopt Markovian strategies. Instead, the authors assume that while the splitting country plays Markovian, the remaining coalition remains committed to the collective control of pollution and plays open-loop.FindingsWithin a full linear-quadratic model, the authors characterize the optimal strategies. The authors later compare with the outcomes of the case where the splitting country and the remaining coalition play both Markovian. The authors highlight several interesting results in terms of the implications for long-term pollution levels and the duration of coalitions under heterogenous strategies as compared to Markovian behavior.Originality/valueIn this paper, the authors have illustrated the richness of the simplications of enlarging the set of strategies in terms of the emergence of coalitions, their duration and the implied welfare levels per player. Varying only three parameters (the technological gap, pollution damage and coalition payoff share distribution across players), the authors have been able to generate, among other findings, quite different rankings of welfare per player depending on whether the remaining coalitions after split play Markovian or stay precommited to the pre-splitting period decisions.
Sustainable energy for all: the link between financial inclusion, renewable energy and environmental sustainability in developing economies
Authors: Ofosu-Mensah Ababio Josephine , Yiadom Eric B. , Mawutor John K.M. , Tuffour Joseph K. , Attah‐Botchwey Edward 
Published: September 2023

Purpose
This study aims to use 67 developing countries to examine the role of financial inclusion as an “empowering tool” for renewable energy uptake and to improve environmental sustainability in developing countries.

Design/methodology/approach
Using a battery of econometric models, including the generalized method of moment-panel vector autoregression (GMM-PVAR), impulse response function, Granger causality, fully modified ordinary least squares and dynamic ordinary least squares, the study proposed and tested three hypotheses.

Findings
The results from various estimations indicate that financial inclusion has a positive effect on renewable energy consumption and environmental sustainability improvement in developing countries. The findings suggest that financial inclusion can improve environmental sustainability by increasing access to financing to fund renewable energy projects, support sustainable businesses and promote sustainable practices.

Originality/value
This study suggests that policymakers prioritize financial inclusion to promote renewable energy consumption and environmental sustainability. Policies should enhance access to financial services, offer financial incentives and subsidies, provide affordable loans through microfinance institutions and fintech companies and promote sustainable businesses and green technologies.
The differential effects of human resource management on organizational innovation: a meta-analytic examination
Authors: Chen Mengsang , Wu Mengdi , Wang Xiaohui , Wang Haibo 
Published: September 2023

PurposeThis meta-analytical review aims to clarify the relationships between three bundles of human resource management (HRM) practices—competency-enhancing, motivation-enhancing and opportunity-enhancing—and organizational innovation by addressing two questions: (a) Which types of HRM bundles are most strongly related to different forms of innovation (i.e. process and product innovation)? And (b) Which mechanism provides a stronger explanation for the positive effects of HRM bundles on innovation?Design/methodology/approachBased on data from 103 studies, a meta-analysis was conducted to quantitatively summarize existing HRM–innovation studies at the organizational level.FindingsThe results showed that the competency-enhancing bundle was more positively related to product innovation than the motivation-enhancing and opportunity-enhancing bundles. The opportunity-enhancing bundle was most strongly associated with process innovation. The authors further found that knowledge management capability (KMC) and employee motivation mediated the positive relationship between the three HRM bundles and innovation outcomes. In comparing the two mechanisms, this review suggests that KMC better explains both the impact of the competency-enhancing HRM bundle on product innovation and the effect of the opportunity-enhancing bundle on process innovation.Originality/valueBased on behavioral and knowledge management perspectives, this study takes a sub-bundle approach to providing an integrative review by comparing the direct effects and mediating paths of HRM bundles on product and process innovation.
Assessment of antecedents of financial literacy among young adults: hybrid BWM and ISM approach
Authors: Saharan Anamika , Saharan Akash , Pandey Krishan Kumar , Rao T. Joji 
Published: September 2023

PurposeThe low level of financial literacy among young adults is a pressing concern at both individual and country levels. Therefore, there is a dire need to understand the best-worst antecedents of financial literacy and how they influence each other.Design/methodology/approachA two-phased multicriteria decision-making (MCDM) technique consisting of best-worst method and interpretive structural modeling (BWM-ISM) was employed for pair-wise comparison, assigning weights, ranking and establishing the relationship among antecedents of financial literacy.FindingsResults suggest that use of Internet (SF1), role of financial advisors (SF3) and education level of individuals (DS7) are top ranked antecedents, whereas masculinity/feminity, language and power distance in society are the least ranked antecedents of financial literacy. Findings will help both academicians and practitioners focus on the key factors and make efforts to increase financial literacy by minimizing resource usage.Originality/valueThe current study provides clarity among antecedents of financial literacy by following BWM-ISM approach for the first time in the financial literacy context.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-11-2022-0746
Stock price index prediction based on SSA-BiGRU-GSCV model from the perspective of long memory
Authors: Mao Zengli , Wu Chong 
Published: September 2023

PurposeBecause the dynamic characteristics of the stock market are nonlinear, it is unclear whether stock prices can be predicted. This paper aims to explore the predictability of the stock price index from a long-memory perspective. The authors propose hybrid models to predict the next-day closing price index and explore the policy effects behind stock prices. The paper aims to discuss the aforementioned ideas.Design/methodology/approachThe authors found a long memory in the stock price index series using modified R/S and GPH tests, and propose an improved bi-directional gated recurrent units (BiGRU) hybrid network framework to predict the next-day stock price index. The proposed framework integrates (1) A de-noising module—Singular Spectrum Analysis (SSA) algorithm, (2) a predictive module—BiGRU model, and (3) an optimization module—Grid Search Cross-validation (GSCV) algorithm.FindingsThree critical findings are long memory, fit effectiveness and model optimization. There is long memory (predictability) in the stock price index series. The proposed framework yields predictions of optimum fit. Data de-noising and parameter optimization can improve the model fit.Practical implicationsThe empirical data are obtained from the financial data of listed companies in the Wind Financial Terminal. The model can accurately predict stock price index series, guide investors to make reasonable investment decisions, and provide a basis for establishing individual industry stock investment strategies.Social implicationsIf the index series in the stock market exhibits long-memory characteristics, the policy implication is that fractal markets, even in the nonlinear case, allow for a corresponding distribution pattern in the value of portfolio assets. The risk of stock price volatility in various sectors has expanded due to the effects of the COVID-19 pandemic and the R-U conflict on the stock market. Predicting future trends by forecasting stock prices is critical for minimizing financial risk. The ability to mitigate the epidemic’s impact and stop losses promptly is relevant to market regulators, companies and other relevant stakeholders.Originality/valueAlthough long memory exists, the stock price index series can be predicted. However, price fluctuations are unstable and chaotic, and traditional mathematical and statistical methods cannot provide precise predictions. The network framework proposed in this paper has robust horizontal connections between units, strong memory capability and stronger generalization ability than traditional network structures. The authors demonstrate significant performance improvements of SSA-BiGRU-GSCV over comparison models on Chinese stocks.
An integrated optimization model for planning supply chains' resilience and business continuity under interrelated disruptions: a case study
Authors: Dehghani Sadrabadi Mohammad Hossein , Makui Ahmad , Ghousi Rouzbeh , Jabbarzadeh Armin 
Published: September 2023

PurposeThe adverse interactions between disruptions can increase the supply chain's vulnerability. Accordingly, establishing supply chain resilience to deal with disruptions and employing business continuity planning to preserve risk management achievements is of considerable importance. The aforementioned idea is discussed in this study.Design/methodology/approachThis study proposes a multi-objective optimization model for employing business continuity management and organizational resilience in a supply chain for responding to multiple interrelated disruptions. The improved augmented e-constraint and the scenario-based robust optimization methods are adopted for multi-objective programming and dealing with uncertainty, respectively. A case study of the automotive battery manufacturing industry is also considered to ensure real-world conformity of the model.FindingsThe results indicate that interactions between disruptions remarkably increase the supply chain's vulnerability. Choosing a higher fortification level for the supply chain and foreign suppliers reduces disruption impacts on resources and improves the supply chain's resilience and business continuity. Facilities dispersion, fortification of facilities, lateral transshipment, order deferral policy, dynamic capacity planning and direct transportation of products to markets are the most efficient resilience strategies in the under-study industry.Originality/valueApplying resource allocation planning and portfolio selection to adopt preventive and reactive resilience strategies simultaneously to manage multiple interrelated disruptions in a real-world automotive battery manufacturing industry, maintaining the long-term achievements of supply chain resilience using business continuity management and dynamic capacity planning are the main contributions of the presented paper.
The metamorphosis of the Islamic political economy publications (1980-2021) – a bibliometric analysis
Authors: Khalifah Mohamad Handi , Savaşan Fatih , Khan Naimat U. , Khan Shabeer 
Published: September 2023

Purpose
This paper aims to trace the contours of Islamic political economy (IPE) for last four decades with the help of bibliometric analysis. This method does not focus on in-depth literature. However, it reviews more material content of the published papers in the field, generally including the number of publications, authors, title, H-Index and authors’ affiliation.

Design/methodology/approach
The authors use biblioshiny by R in conducting bibliometric analysis. Based on the results of analysis, the authors only found 39 relevant documents to the topic with the help of keyword of “Islamic political economy”. The authors analyse the data and visualize it into bibliometric images for the convenience of the readers.

Findings
There are 39 documents on IPE in the annual scientific production. The year 1980 had the lowest productivity at 3% while the year 2007 showed an increase in scientific productivity by 13%. The most significant increase in production occurred between 2014 and 2015 by 8%, while the most significant decline occurred between 2007 and 2008 by 10%. The most significant contributors are Akan, T., Choudhury, M.A. and Asutay, M. According to the Corresponding Author’s Country, the UK has eight articles on IPE. Humanomics is the most influential Journal, with six documents.

Research limitations/implications
This research only examines documents sourced from Web of Science and Scopus under the title “Islamic political economy” and does not include articles from other sources. This research has implications for future researchers and suggests a shift in recent research on IPE towards exploring current realities and expanding beyond traditional economic and political aspects. The goal is to gain a comprehensive understanding of Islam’s role in shaping economic and political systems, promoting inclusive sustainable development and social justice, and exploring its relationship with broader political and economic systems.

Originality/value
IPE has become a trendy topic in the early days, the second half of the 20th century, during the revival of the Islamic mode of finance and development. However, with time, the discussion on this topic appeared less in scientific and academic publications; this issue needs an overview of how far this discipline has evolved. This work aims to identify future research trends in this area. Scholars should investigate articles by author, institution, country, databases, data sources with high-impact factors and objective metrics to get new perspectives.
Is investing inherently emotionally arousing process? Fund manager perspective
Authors: Verma Shubhangi , Rao Purnima , Kumar Satish 
Published: September 2023

Purpose
This study aims to establish the factors affecting the financial investment decision-making of an investor, with specific reference to investors’ emotions and how various events such as festivals, the pandemic and sports matches affect their investors’ investment decision-making. The authors further intend to understand the role of these investor emotions in creating stock market anomalies.

Design/methodology/approach
Twenty-nine semistructured exploratory interviews with fund managers from the top 10 asset management companies in India, who deal with individual investors regularly, were taken. The interviews were conducted to identify and describe the underlying ideas and sentiments that influence an individual’s investment behavior.

Findings
Although risk and return are the primary motivators of investment decisions, fund managers’ daily interactions with individual investors are affected by unpredictability and technical ambiguity, and investing is an inherently emotionally arousing process, according to the findings of the in-depth interviews.

Originality/value
To the best of the authors’ knowledge, this study is one of the first studies in Indian market to report the views of financial professionals about the emotional aspect of investors in making an investment decision. With most of the research conducted using quantitative methods, the current study brings in the perspective of financial professionals using primary data.
On performance drivers of European Fintechs around venture capital: exploring the role of founders’ experience
Authors: Turki Aymen , Rieg Robert 
Published: September 2023

Purpose
Many observers believe that industry experience of entrepreneurs drives successful new entrepreneurial firms. However, whenever it comes to disruptive digital ventures such as Financial Technologies (Fintechs), the picture may be different due to the cross-industry nature of digital firms. The purpose of this study is to disentangle the impacts of finance, banking and information technology (IT) experiences of founders on performance of European Fintechs around venture capital (VC) investment.

Design/methodology/approach
Based on a data set of 105 Fintechs from European countries, including UK, which are involved in 201 VC rounds between 2006 and 2019, the authors adopt a Bayesian quantile approach to link founders’ experience with two performance measures that identify market success (return on sales) and investment outcome (return on equity).

Findings
The findings indicate that finance and IT-specific experiences seem to matter more often than banking experience and that the extent of their impact depends on level and metric of performance. More specifically, Fintechs in Europe and UK are more able to achieve market success with both finance and IT experiences of their founders, but that does not necessarily transform into higher returns for investors.

Originality/value
This study provides new evidence that not all aspects of industry experience matter for digital ventures, as they must fit to a certain firm, cycle and industry. For Fintech, as the name says, finance and IT experiences matter.
A path planning method for compliant jointing of weakly rigid helicopter fuselage
Authors: Shi Xunlei , Wu Qingyuan , Deng Jianjian , Chen Ken , Zhang Jiwen 
Published: September 2023

Purpose
The purpose of this paper is to propose a strategy for the final assembly of helicopter fuselage with weak rigidity parts and mismatched jointing butt ends.

Design/methodology/approach
The strategy is based on path planning methods. Compared with traditional path planning methods, the configuration-space and collision detection in the method are different. The obstacles in the configuration-space are weakly rigid and allow continuous contact with the robot. The collision detection is based on interference magnitudes, and the result is divided into no collision, weak collision and strong collision. Only strong collision is unacceptable. Then a compliant jointing path planning algorithm based on RRT is designed, combined with some improvements in search efficiency.

Findings
A series of planning results show that the efficiency of this method is higher than original RRT under the same conditions. The effectiveness of the method is verified by a series of simulations and experiments on two sets of systems.

Originality/value
There are few reports on the automation technology of helicopter fuselage assembly. This paper analyzes the problem and provides a solution from the perspective of path planning. This method contains a new configuration-space and collision detection method adapted to this problem and could be intuitive for the jointing of other weakly rigid parts.