bluuebunny/crossref_metadata_2025_split huggingface dataset:
A systematic review on implementing operational excellence as a strategy to ensure regulatory compliance: a roadmap for Indian pharmaceutical industry
Authors: Jalundhwala Forum , Londhe Vaishali 
Published: November 2022

Purpose
The purpose of this study is to enhance the understanding of the complete process of framing and implementing operational excellence in the pharmaceutical industry to ensure higher regulatory compliance.

Design/methodology/approach
A literature search was conducted using preferred reporting items for systematic reviews and meta-analyses guidelines. Strategies were set with different keywords and certain assessment criteria for the inclusion and exclusion of articles. A total of 46 articles were considered for a full review.

Findings
This study describes the impact of implementing operational excellence in day-to-day operations and the driving forces to achieve the same. Seven commonly used enablers are described can be used in combination to develop and validate an assessment model. Case studies are summarized to schematize operational excellence programs for the scope of their industry.

Research limitations/implications
This study is limited to Indian pharmaceutical manufacturers. It is implied toward small-scale manufacturers. It can be further extended to manufacturers from other regions.

Practical implications
This study guides quality assurance managers, regulatory agencies and other top management to implement operational excellence to ensure higher regulatory compliance. It guides to develop a roadmap to operational excellence in their scope. This study is applicable to any manufacturing industry bound to comply with pharmaceutical regulatory standards.

Originality/value
To the best of the authors’ knowledge, at the time of publication, there are regulatory guidelines and some articles on various key enablers to achieve operational excellence. There is no published systematic review on achieving regulatory compliance by using operational excellence.
Mechanical properties and frictional behavior of SiCp/Al-Si-Cu-Ni-Mg hybrid composites at an elevated temperature
Authors: Zhou Yuejian , Liu Xiaoshan , He Guoqiu , Zhou Zhiqiang , Liao Yiping , Liu Yinfu , Xu Xiaojun 
Published: November 2022

Purpose
This paper aims to investigate the effect of Cu content and T6 heat treatment on the mechanical properties and the tribological performance of SiCp/Al-Si-Cu-Ni-Mg hybrid composites at an elevated temperature.

Design/methodology/approach
The stir casting method was used to synthesize SiCp/Al-12Si-xCu-1Ni-1Mg (x = 2, 3, 3.5, 4, 4.5, 5 Wt.%) composites containing 20 vol% SiC. The hardness and tensile strength of the aluminum matrix composites (AMCs) at room temperature and elevated temperature were studied, and the wear mechanism was investigated using scanning electron microscopic and energy dispersive spectroscopy.

Findings
Results indicate that the hardness and tensile strength of the AMCs are affected significantly by T6 heat treatment and Cu content. The high-temperature friction and wear mechanism of AMCs is the composite wear mechanism of oxidation wear, adhesion wear, abrasive wear, peeling wear, high-temperature softening and partial melting. Among them, adhesion wear, high-temperature matrix softening and local melting are the main wear mechanisms.

Originality/value
The influence mechanism of Cu content on the hardness, tensile strength and high temperature resistance of AMCs was explained by microstructure. And the results further help to explore the application of AMCs in high temperature.
The impact of comment history disclosure on online comment posting behaviors
Authors: Kim Jong Min , Han Jeongsoo , Jiang Shiyu 
Published: November 2022

PurposeThis study aimed to empirically examine the effectiveness of disclosing user comment history without disclosing personal identity as a nudge policy to refrain users from posting malicious content online.Design/methodology/approachThe authors collected the number of comments and posters from the leading portal website in South Korea, Naver.com. To causally investigate the impacts of the new nudge policy on the number of comments and posters, the authors used the regression discontinuity design (RDD) approach.FindingsThe authors found that the new policy reduced all types of comments, including the number of malicious comments, self-deleted comments and current comments. This resulted in an overall decrease in the total number of posted comments, which is considered a side effect. In addition, the authors found that the effect of the nudge policy, which disclosed user comment history, has a stronger effect on older female users than their counterparts.Originality/valueThe study findings extend the current knowledge on a nudge policy being implemented by a website as a means to reduce malicious online content and how it impacts user content posting behaviors.
The ethics of climate change and the green new deal: a qualitative study
Authors: Bridge Damian J. 
Published: November 2022

PurposeThis paper builds on the findings of Bridge (2021) and attempts to understand the major ethical, equity, and leadership issues that may arise when governments plan massive infrastructure and amelioration programs such as the United States’ Green New Deal (GND). The methodology developed here could be applied to the plans being created in other developed countries such as Canada and Korea.Design/methodology/approachA qualitative approach was used to analyse the ethical issues associated with the Green New Deal via semi-structured interviews with 34 published authors of academic articles dealing with the ethics of climate change. Two industry experts were also consulted for reference.FindingsThis paper identifies three key themes arising from the proposed implementation of the Green New Deal. Firstly, the GND has the potential to present equity, justice, and ethical issues that must be considered as part of any intended adoption. Secondly, the GND will present opportunities for economic and climate success, but some groups may suffer due to its implementation. Thirdly, those that have the capacity, wealth, leadership, and ability should lead climate change initiatives. This may require market solutions in the short-term to reach 2050 net zero targets.Originality/valueThis paper is the first qualitative study undertaken on the Green New Deal, contributing to the development of the scant literature on this topic and also informing the practical implementation of wholesale infrastructure plans.
What influence the performance of banks? Evidence from public sector banks in India
Authors: Kantharia Nirali Jagjivanbhai , Biradar Jivan 
Published: November 2022

Purpose
Every shock, starting from the banking sector reform in 1992 to the global crisis due to Covid-19 pandemic, affects the performance of banks. The shocks and transformations jeopardise the bank’s performance. This study cover period of 30 years starting from 1992. So, the reason behind taking only public sector banks is that after 1991–92 many banking sector reforms took place, and many new private sector banks and foreign sector banks entered into competition due to the liberalization, privatization, globalization (LPG) policy. So, it has been difficult for public sector bank to manage their performance in a competitive market. So, the purpose of this study is to find out influencing factors of bank performance especially public sector bank, because, it has been vital to identify factors influencing their performance.

Design/methodology/approach
The current study explores the determinant of the performance of public sector banks in India. Currently, in India, 12 banks are public sector banks, which capture 59.8% market share in the banking industry. After 1994 new licences were issued by Reserve Bank of India for many banks, and foreign sector banks entered the market as an effect of LPG policy, and market competition is one of the significant determinants of the performance of banks. Thus, the panel regression model is used to analyse the impact of various determinants on the performance of public sector banks (from 1992 to 2021). Return on equity and return on assets are used as indicators of performance, whereas influencing factors are divided into two parts, bank-specific factors, which include bank size, asset quality (AQ), liquidity, credit deposit ratio (CDR), capital adequacy, debt-equity ratio, employee’s productivity and macroeconomic factors which include inflation rate, tax rate and gross domestic product (GDP).

Findings
Results of the study show that bank size is not an essential factor for measuring bank performance because it is insignificant with both indicators of performance. AQ, liquidity ratio and CDR are significant in both models with negative impact. Macroeconomic factors like GDP are insignificant with both indicators with positive relations and tax rates are significant with a positive relationship. The inflation rate is significant but affects negatively to performance.

Research limitations/implications
This study only focuses on public sector banks. So, the results for private and foreign sector banks might differ. Considering the larger market share compared to other sector banks, the authors are focusing on public sector banks only. Foreign banks and cooperative banks are not included current analysis because of huge numbers and different working environments.

Originality/value
Determining influencing factors of bank performance is crucial because it will help the bank take various policy implications and formulation. Since independence measuring bank performance are important area.
Exploring the antecedents of internalization, identification, and compliance social influence for mobile banking adoption
Authors: Alenizi Abdulrahman Saqer 
Published: November 2022

Purpose
Social media users can now create, exchange, modify and consume socially generated experiences which can enhance social influence toward mobile banking (MB). This study aims to provide understanding of how social actor interactions through social networking platforms (SNPs) can create social influence for MB adoption and present a research framework that can help to understand which social actors have higher social influence toward MB adoption in conventional and Islamic banks.

Design/methodology/approach
SNP users have different levels of perceptions and experiences about the usability and credibility of MB. Therefore, their experiences are subjective realties which can generate socially constructed knowledge. To understand these subjective realties, a social constructivist approach is adopted. Data were collected from interviews with 60 individuals from diverse occupational backgrounds.

Findings
Identification element of social influence explained that the shared reviews and recommendations of opinion leaders, industry experts, celebrities and friends were highly positive for conventional banks; therefore, there is high word-of-mouth for MB of conventional banks. Internalization of social influence highlighted that people are more likely to accept the wisdom of the crowd and close friends, which can generate their engagement and connection with MB. Finally, the compliance factor of social influence explained that people can only adopt MB when they perceive high usability and credibility.

Research limitations/implications
This study has provided understanding to the marketers of how social actors on SNPs can play a role in the creation, exchange, modification and consumption of socially generated influence that can impact the MB adoption intention for conventional and Islamic banks.

Originality/value
Although many theories and models have been presented about the marketing strategies and antecedents of MB adoption, the extensive use of SNPs has changed marketing strategies. For example, this study has found that social media users are highly influenced by the social reviews and recommendations they receive from their close friends. Therefore, socially generated influence on SNPs can create an adoption intention toward MB.
I know you, you know me: the effects of customer empathy and employee self-disclosure on customer citizenship behavior
Authors: Kim Misun (Sunny) , Jang Jichul 
Published: November 2022

PurposeDrawing on social penetration theory (SPT) and social exchange theory, this study examines whether and why customer empathy for frontline employees (FLEs) and employee self-disclosure influence customer citizenship behavior (CCB).Design/methodology/approachThis study’s hypotheses were tested using two studies (study 1 had an experimental design, and study 2 had a survey design) with restaurant customers.FindingsThe results indicate that when customers have a higher level of customer empathy for FLE, the likelihood that customers will exhibit CCB increases. Employee self-disclosure provides a greater advantage in fostering CCB. A mediating effect of rapport in the relationship between customer empathy for FLE, employee self-disclosure and CCB is also found, while no interaction effect of customer empathy for FLE and employee self-disclosure on CCB is supported.Originality/valueMaintaining a focus on the interpersonal nature of interactions between customers and employees in co-creating values, this research advances the CCB literature by newly identifying customer empathy for FLEs and employee self-disclosure as predictors of CCB that have not yet been tapped. The underlying mechanism via rapport is also explained using the value co-creation perspective.
A group consensus decision-making method for cloud services selection with knowledge deficit by trust functions
Authors: Liu Yujia , Liang Changyong , Wu Jian , Jain Hemant , Gu Dongxiao 
Published: November 2022

PurposeComplex cost structures and multiple conflicting objectives make selecting an appropriate cloud service difficult. The purpose of this study is to propose a novel group consensus decision making method for cloud services selection with knowledge deficit by trust functions.Design/methodology/approachThis article proposes a knowledge deficit-based multi-criteria group decision-making (MCGDM) method for cloud-service selection based on trust functions. Firstly, the concept of trust functions and a ranking method is developed to express the decision-making opinions. Secondly, a novel 3D normalized trust degree (NTD) is defined to measure the consensus levels. Thirdly, a knowledge deficit-based interactive consensus model is proposed for the inconsistent experts to modify their decision opinions. Finally, a real case study has been carried out to illustrate the framework and compare it with other methods.FindingsThe proposed method is practical and effective which is verified by the real case study. Knowledge deficit is an important concept in cloud service selection which is verified by the comparison of the proposed recommended mechanism based on KDD with the conventional recommended mechanism based on average value. A 3D NTD which considers three values (trust, not trust and knowledge deficit) is defined to measure the consensus levels. A knowledge deficit-based interactive consensus model is proposed to help decision-makers reach group consensus. The proposed group consensus model enables the inconsistent decision-makers to accept the revised opinions of those with less knowledge deficit, rather than accepting the recommended opinions averagely.Originality/valueThe proposed a knowledge deficit-based MCGDM cloud service selection method considers group consensus in cloud service selection. The concept of knowledge deficit is considered in modeling the group consensus measuring and reaching method.
Quality evaluation and acceptability of cookies produced from wheat (Triticum aestivum) flour substituted with avocado puree as fat substitute
Authors: Adeyeye Samuel Ayofemi Olalekan , Bolaji Olusola Timothy , Abegunde T.A. , Emun Helen O. , Oyenubi Rasheed Adesina 
Published: November 2022

Purpose
The purpose of this study is to evaluate the quality and sensory properties of cookies produced from wheat flour using avocado puree as fat substitute.

Design/methodology/approach
Cookies were produced from wheat flour using avocado puree as fat substitute in ratio 0%, 25%, 50%, 75% and 100%, respectively. The formulation of margarine and avocado puree blends was done by using D-Optimal Mixture Design. In all, 20 samples were produced from each substitution level and analyses were done in triplicates to obtain mean values using standard methods. Means were separated by Duncan’s multiple range test, and significances were accepted at less than 5% confidence level (p < 0.05). Proximate and functional analyses were conducted on the flour samples, while cookie samples were subjected to proximate and sensory analyses.

Findings
The results of this study revealed that the values of loose bulk density, packed bulk density, oil absorption density, water absorption capacity, swelling power, solubility and dispersibility of the flours at p < 0.05 are 0.3–0.4 g/ml, 0.5–0.7 g/ml, 16.9%–94.0%, 39.7%–80.6%, 461.2%–618.2%, 6.0%–29.8% and 69.0%–82.8%, respectively. The moisture, protein, fat, total dietary fiber, total ash and carbohydrate contents of the cookies at p < 0.05 are 3.6%–16.7%, 6.5%–9.9%, 2.5%–19.2%, 1.7%–1.9%, 1.1%–3.0% and 65.0%–70.7%, respectively. The taste, color, crispiness, texture and overall acceptability of the cookies at p < 0.05 are 7.4–7.8, 6.9–7.5, 7.2–7.9, 7.3–7.7 and 7.4–8.3, respectively. The sensory scores showed that panelists preferred the taste, crispiness and texture of the cookies produced from wheat flour using avocado puree as fat substitute at varying proportion. The sensory characteristics of sample WF4 (100% avocado puree) were rated overall best in all the parameters tested followed by sample WF3 (75% avocado puree). Hence, this study established the possibility of producing cookies from wheat flour using avocado puree as fat substitute without a negative impact on the sensory characteristics and the consumers’ acceptability.

Practical implications
The cookies produced from this study are not meant for vegetarians because eggs were added in the formulations and recipes but could be valuable to ovo-vegetarians that may take food with eggs without restriction. The major challenge of this study was that avocados are very expensive in much of the world, so this is only suitable and viable where there is an excess of the fruit.

Originality/value
This study examined the use of avocado puree as fat substitute in cookie production. Effects of avocado puree on proximate composition and functionality of cookies produced from wheat flour were also determined. This approach was novel, and it will encourage the use of avocado for value-added in industrial food production.
Adherence to the police code of silence: examining changes in recruits' perceptions during the training academy
Authors: Donner Christopher M. , Maskály Jon 
Published: November 2022

PurposeThe purpose of this study is to examine the nature of the code of silence among police recruits in an effort to provide recommendations to reduce its occurrence and harm to society.Design/methodology/approachData analyses are performed on a multi-agency sample of 645 police recruits in the United States. Specifically, analyses are conducted on pre- and post-academy panel data to assess changes in recruits' perceptions of code adherence over time as they begin their immersion into the police culture.FindingsResults demonstrate that police recruits' willingness to report a fellow officer is reduced by the end of the academy and that several individual and organizational factors impact recruits' code adherence attitudes over time.Originality/valueThis study contributes to the policing literature by exploring changes in recruits' code adherence attitudes over time.
Multi-material additive manufacturing: effect of process parameters on flexural behavior of soft-hard sandwich beams
Authors: Liu Qingyang , Zhang Ziyang , Yavas Denizhan , Shen Wen , Wu Dazhong 
Published: November 2022

Purpose
Understanding the effect of process parameters on interfaces and interfacial bonding between two materials during multi-material additive manufacturing (MMAM) is crucial to the fabrication of high-quality and strong multi-material structures. The purpose of this paper is to conduct an experimental and statistical study to investigate the effect of process parameters of soft and hard materials on the flexural behavior of multi-material structures fabricated via material extrusion-based MMAM.

Design/methodology/approach
Sandwich beam samples composed of a soft core and hard shells are fabricated via MMAM under different printing conditions. A design of experiments is conducted to investigate the effect of the print speed and nozzle temperature on the flexural behavior of soft-hard sandwich beams. Analysis of variance and logistic regression analysis are used to analyze the significance of each process parameter. The interfacial morphology of the samples after the flexural tests is characterized. Thermal distributions during the MMAM process are captured to understand the effect of process parameters on the flexural behavior based on inter-bonding formation mechanisms.

Findings
Experimental results show that the soft-hard sandwich beams exhibited two different failure modes, including shell failure and interfacial failure. A transition of failure modes from interfacial failure to shell failure is observed as the nozzle temperatures increase. The samples that fail because of interfacial cracking exhibit a pure adhesive failure because of weak interfacial fracture properties. The samples that fail because of shell cracking exhibit a mixed adhesive and cohesive failure. The flexural strength and modulus are affected by the nozzle temperature for the hard material and the print speeds for both hard and soft materials significantly.

Originality/value
This paper first investigates the effect of process parameters for soft and hard materials on the flexural behavior of additively manufactured multi-material structures. Especially, the ranges of the selected process parameters are distinct, and the effect of all possible combinations of the process parameters on the flexural behavior is characterized through a full factorial design of experiments. The experimental results and conclusions of this paper provide guidance for future research on improving the interfacial bonding and understanding the failure mechanism of multi-material structures fabricated by MMAM.
The role of higher education institutions (HEIs) in educating future leaders with social impact contributing to the sustainable development goals
Authors: Tomasella Barbara , Wylie Anne , Gill Devi 
Published: November 2022

Purpose
The purpose of this paper is to understand how higher education institutions (HEIs) educate future leaders with social impact contributing to the sustainable development goals (SDGs). HEIs have an interest in developing leaders with social impact, but there is a lack of knowledge on the best teaching and learning strategies to engage students with social action aimed at the SDGs. This paper fills this gap by addressing the question of how HEIs can shape the sustainability mindsets of future leaders with social impact contributing to the SDGs.

Design/methodology/approach
This research used a mixed method research design, including a quantitative survey and qualitative semi-structured interviews of UK students involved in HEIs experiential learning programmes, focused on social impact and entrepreneurial action, developed in partnership with the organisation Enactus.

Findings
This research highlighted the importance of experiential learning, as it develops the knowledge, values and competency underpinning the sustainability mindset of future leaders contributing to the SDGs, in particular their emotional intelligence.

Originality/value
This research shows that HEIs can educate future leaders with social impact contributing to the SDGs, through real-world experiential learning that develops their sustainability mindset; in terms of aligning the curriculum to the SDGs, more focus on the systems perspective of the sustainability mindset framework is needed.