bluuebunny/crossref_metadata_2025_split huggingface dataset:
A parallel-series hybridization of seasonal intelligent based statistical model for demand forecasting
Authors: Bahrami Maryam , Khashei Mehdi , Amindoust Atefeh 
Published: July 2021

Purpose
The purpose of this paper, because of the complexity of demand time series and the need to construct a more accurate hybrid model that can model all relationships in data, is to propose a parallel-series hybridization of seasonal neural networks and statistical models for demand time series forecasting.

Design/methodology/approach
The main idea of proposed model is centered around combining parallel and series hybrid methodologies to use the benefit of unique advantages of both hybrid strategies as well as intelligent and classic seasonal time series models simultaneously for achieving results that are more accurate for the first time. In the proposed model, in contrast of traditional parallel and series hybrid strategies, it can be generally shown that the performance of the proposed model will not be worse than components.

Findings
Empirical results of forecasting two well-known seasonal time series data sets, including the total production value of the Taiwan machinery industry and the sales volume of soft drinks, indicate that the proposed model can effectively improve the forecasting accuracy achieved by either of their components used in isolation. In addition, the proposed model can achieve more accurate results than parallel and series hybrid model with same components. Therefore, the proposed model can be used as an appropriate alternative model for seasonal time series forecasting, especially when higher forecasting accuracy is needed.

Originality/value
To the best of the authors’ knowledge, the proposed model, for first time and in contrast of traditional parallel and series hybrid strategies, is developed.
Psychological contract and work outcomes during COVID-19 pandemic
Authors: Karani Anushree , Trivedi Payal , Thanki Heena 
Published: July 2021

PurposeThe purpose of the current research is to examine the impact of psychological contract fulfillment on work outcomes i.e. organizational commitment and job satisfaction during the COVID-19 pandemic. It also aims to check the mediating role of co-worker support and work engagement on organizational outcomes.Design/methodology/approachThe current study has adopted a quantitative approach and a cross-sectional research design has been used with a snowball sampling technique. Data were collected via a structured questionnaire through Google Docs from 926 respondents working at different capacities in the service sector. The study includes those respondents who are working from home during the COVID-19 pandemic situation. The hypotheses were tested using structural equation modeling (SEM).FindingsResults indicated that psychological contract fulfillment was positively impacting work outcomes i.e. organizational commitment and job satisfaction. Co-worker support and work engagement positively mediated the relationship between psychological contract fulfillment and work outcomes during the COVID-19 pandemic situation. Multi-group analysis proved that there was a difference in opinion regarding the impact of psychological contract fulfillment on organizational commitment and job satisfaction amongst males and females.Originality/valueThe novel contribution of the study is integrating social exchange theory, organization support theory and social information processing theory during the pandemic situation. The results highlighted meticulous empirical evidence, which answers the question as to how the met expectations cause an advantageous effect on the employees as well as the organizations in this COVID-19 pandemic situation.
Why should you respond to customer complaints on a personal level? The silent observer's perspective
Authors: López-López Inés , Palazón Mariola , Sánchez-Martínez José Antonio 
Published: July 2021

PurposeThis paper analyzes the effect of company response style and complaint source on silent observers' reactions to a service failure episode vented on Twitter.Design/methodology/approachIn a 2 × 2 experimental design, company response style (personalized vs automatic) and complaint source (ordinary Twitter user vs influencer) were manipulated to test the hypotheses.FindingsComplaint source moderates the effect of company response style on brand image, purchase intention and electronic word-of-mouth (eWOM). Thus, the authors found that a personalized response to a complaint, compared to an automatic response, leads to a more favorable brand image as well as purchase intention and eWOM intention when the complainant is an ordinary Twitter user. However, the automatic response, compared to the personalized one, is better perceived when the complainant is an influencer. The authors also found that service failure response attribution and the emotions elicited during the firm–complainant interaction mediate the previous effects.Research limitations/implicationsThis paper deals with the company's initial reaction after a complaint is posted on Twitter; however, the complaint-handling process is longer, and both the customer and silent observers await a resolution. Future research could tackle subsequent stages of the process and different recovery strategies.Practical implicationsThe study offers meaningful insights regarding complaint handling on Twitter and how the effectiveness of the company response style depends on the complaint source. Marketers should offer adapted personalized responses to prompt positive behavioral intentions for ordinary Twitter users, who represent prospective consumers. However, a personalized response given to an influencer may be perceived more negatively, as silent observers may interpret that the company offers such a response just because the complaint comes from a well-known person who can reach many users and not because of an honest interest in serving consumers.Originality/valueThis research focuses on the underresearched area of the impact of online complaints on silent observers, a large group of prospective consumers quietly exposed to complaints aired on Twitter. The underlying mechanisms are also identified.
Firm-level attributes of inflationary expectations of entrepreneurs: evidence from the Pakistan economy
Authors: Qayyum Waqqas , Malik Wasim Shahid 
Published: July 2021

PurposeThe purpose of this research is to bring upfront some unconventional attributes of inflationary expectations of entrepreneurs. Firm-level attributes are instrumental in shaping the behavior of entrepreneurs, which affect the way in which they form their expectations regarding some key economic variables, like inflation. Inflationary expectations are considered important based on their significant role in affecting decisions taken by individuals, firms and policy makers. Among all economic segments, it is vital to account the inflationary expectations of entrepreneurs representing firms because their decisions critically define the future path of actual inflation and inflation inertia. This basic purpose of this paper is to offer a deterministic framework for these expectations contingent upon the firm-level attributes.Design/methodology/approachThis paper provides survey-based evidence on inflationary expectations of entrepreneurs of the selected manufacturing, trading and service sector firms from Pakistan. Additionally, the study has focused on identifying some firm-level attributes, including market experience of the firm, scale of production, myopia in price setting behavior, forward and backward-looking behavior, rationality of the entrepreneur and the entrepreneur's relative firm-level experience as determinants of these expectations. The specified variables are constructed based on responses captured through a structured questionnaire.FindingsWithin an ordinal logistic framework, the study finds that the said attributes including market experience of the firm, scale of production, myopic tendency of entrepreneur in price setting, forward and backward-looking behavior, rationality of the entrepreneur and the entrepreneur's relative firm-level experience play a pivotal role in explaining differentials and heterogeneity in reported level of inflationary expectations.Originality/valueThe study brings upfront some unconventional attributes of inflationary expectations at entrepreneurial level. The work is unique in a sense that it provokes researchers to account behavioral and individualistic attributes within a deterministic framework for inflationary expectations.
What drives e-hailing apps adoption? An analysis of behavioral factors through fuzzy AHP
Authors: Arora Manoj , Singh Harpreet , Gupta Sanjay 
Published: July 2021

Purpose
In the era of digitalization and technology, tremendous changes have taken place in the taxi industry worldwide. The traditional taxi service has transformed into the latest innovative technology-based e-hailing service. There are innumerable factors that drive the user adoption of e-hailing apps. This study aims to primarily concentrate on identifying, analyzing and ranking these factors which have an impact on the user intention toward using e-hailing apps.

Design/methodology/approach
The e-hailing app users in the state of Punjab and Chandigarh are the target population for the study. A fuzzy analytical hierarchy process technique has been applied to analyze and codify the determinants that influence the user intention of adopting e-hailing apps. The primary factors that have been considered for the study are social influence, perceived usefulness, facilitating conditions, perceived ease of use, self-efficacy, perceived risk, compatibility and trust.

Findings
The study revealed that “Perceived Usefulness” is the factor that influences user intention to use e-hailing apps the most, while “Perceived Risk” the least. The sub-criteria codified in the top priority was as follows: “Overall, I find the e-hailing app useful in booking a taxi (C15)”; “I do not need some people to use e-hailing apps (C52); “I believe e-hailing app is compatible with existing technology (C61).” The sub-criterion “E-hailing app service provider keeps its promise (C72)” was demonstrated to have the least impact on the user intention of adopting e-hailing apps.

Research limitations/implications
The study has been confined to only eight factors selected from the extended technological acceptance model framework and some related technology acceptance theories. Some more other factors may have an impact on user adoption of e-hailing apps, which need to be added further. Also, the scope of the study should be enhanced by expanding the geographical area beyond the selected region.

Practical implications
The findings of the study enable the e-hailing service providers and marketers to understand the users’ intention in a better way, to make improvements in e-hailing apps and formulate strategies accordingly.

Originality/value
The previous literature provides the base to the present study for identifying the factors affecting user behavioral intention toward e-hailing apps and information technology. The findings and results of the present research make value addition to the existing knowledge base.
Market orientation and firm performance: can there be too much of a good thing?
Authors: Jancenelle Vivien , Storrud-Barnes Susan F. , Buccieri Dominic 
Published: July 2021

PurposePast research has generally purported that market orientation (MO) leads to superior firm performance, despite emerging evidence suggesting that the highest levels of MO are not always rewarded. Drawing on resource-based view and MO literature, the authors posit that too much MO may be as detrimental as too little for firms seeking to achieve better performance, and that moderate MO capabilities may be the most beneficial. Furthermore, the authors propose and test for organizational confidence as a first potential moderator of the MO-performance inverted U-shaped link.Design/methodology/approachThe authors use Computer-Assisted-Text-Analysis (CATA) methodology assess constructs from annual reports matched with a 5-year longitudinal dataset of 2,245 firm-year observations drawn from the S&P 500.FindingsThe results not only support the presence of an inverted U-shaped link between MO and firm performance, but also identify organizational confidence as an important moderator of this newly uncovered curvilinear relationship.Practical implicationsWhen it comes to the effect of MO on firm performance, there can be indeed be “too much of a good thing,” and managers should be aware of the trade-offs that come attached with overcommitting to a MO strategy.Originality/valueThe authors contribute to extant research on the MO–performance link by moving beyond simple linear relationships and identifying an inverted U-shaped relationship between MO and firm performance. This newly found curvilinear relationship may explain and reconcile prior contradicting findings on the benefits of MO. Organizational confidence is also found to trigger a shape-flip of the MO–performance link, thereby suggesting a new boundary condition.
Productivity dispersion in the Italian knowledge-intensive business services (KIBS) industry: a multilevel analysis
Authors: Campisi Domenico , Mancuso Paolo , Mastrodonato Stefano Luigi , Morea Donato 
Published: July 2021

PurposeThis paper aims to provide an analysis of the productivity evolution of a sample of 18,459 knowledge-intensive business services (KIBS) firms operating in Italy over the period 2012–2018. The interaction between productivity heterogeneity firm localization and firm sector of business are also analyzed.Design/methodology/approachThe empirical setting is based on data envelopment analysis (DEA) to measure the multifactor productivity index (MPI) and on the multilevel models to investigate if the source of productivity heterogeneity among the Italian KIBS are due to the geographic location and/or to the specific business sectors in which firms operate. Data have been gathered from the AIDA database, which contains financial data of all Italian firms.FindingsThe empirical results show that MPI heterogeneity in the Italian KIBS firms' is sensitive to the regional context in which firms operate to the specific KIBS sector and above all at the interactions arising between region and sector.Originality/valueThe paper contributes to identify the source of productivity dispersion in the Italian KIBS.
The practices of Shariah governance systems of Islamic banks in Bangladesh
Authors: Alam Md. Kausar , Rahman Md. Mizanur , Islam Fakir Tajul , Adedeji Babatunji Samuel , Mannan Md. Abdul , Sahabuddin Mohammad 
Published: July 2021

Purpose
The purpose of this study is to explore the practices of Shariah governance (SG) systems in terms of their guidelines, current operational procedures, internbal policies and structures and regulatory framework of Islamic banks in Bangladesh from the viewpoints of Shariah, Tawhidic approach/ontological approach and Shuratic process of Islamic corporate governance and institutional theory.

Design/methodology/approach
A semi-structured interview tactic has been applied to attain the objective. Overall, data has been collected from the regulators, Shariah supervisory board members, Shariah department executives and experts from the central bank and Islamic banks of Bangladesh.

Findings
The study finds that Islamic banks do not follow complete Shariah principles in all aspects of SG nor violate them fully in their overall functions due to less accountability, which contradicts the concept of the Tawhidi epistemological process of Islamic corporate governance. Islamic banks announce that they are following Accounting and Auditing Organization for Islamic Financial Institutions (AAOIFI) guidelines, but in practice, they do not follow the instructions accurately because all of the standards and policies of AAOIFI and the Islamic Financial Services Board are not applicable in Bangladesh due to its cultural, legal and regulatory structures. It is found that Islamic banks in Bangladesh have a lower practice of maqasid as-Shariah and Tawhidic approach and Shuratic process.

Research limitations/implications
The study significantly contributed to the central bank of Bangladesh and Islamic banks by exploring the SG systems for their further enhancement. The research provides some suggestions for improving existing SG systems and enhancing more application of SG guidelines and Shariah principles in the overall operations of the Islamic banks in Bangladesh.

Originality/value
This research extends the literature regarding the Islamic banks’ SG practices in Bangladesh. The study also contributes to Shariah, Tawhidic approach/ontological approach and Shuratic process of Islamic corporate governance and institutional theory by exploring the Islamic banks’ existing SG practices in Bangladesh.
Dynamics of millennial employees' communicative behaviors in the workplace: the role of inclusive leadership and symmetrical organizational communication
Authors: Lee Yeunjae 
Published: July 2021

PurposeWith a focus on millennial employees, this study investigates how employees engage in two types of employees' communicative behaviors (ECBs), that is, their voluntary communicative efforts to acquire and circulate tasks and managerial information (i.e. scouting) and to share and discuss positive and negative aspects of their organization with internal members (i.e. internal megaphoning). Through the lens of social exchange theory (SET) and symmetrical communication model, this study examines the effects of inclusive leadership and internal communication on active information behaviors of employees within their companies.Design/methodology/approachAn online survey was conducted with fulltime millennial employees working across various industry sectors in the US.FindingsSymmetrical internal communication influenced by inclusive leadership enhances employees' scouting behavior as well as positive internal megaphoning behavior. Positive and negative internal megaphoning with supervisors increases the scouting behavior of employees, whereas negative internal megaphoning with peers does not have a significant effect.Originality/valueThis study is among the first attempts to examine the effectiveness of leadership and strategic internal communication on millennial employees' diverse types of communicative behaviors.
Topology optimization for infill in MEx
Authors: Schmitt Matt , Kim Il Yong 
Published: July 2021

Purpose
In furthering numerical optimization techniques for the light-weighting of components, it is paramount to produce algorithms that closely mimic the physical behavior of the specific manufacturing method under which they are created. The continual development in topology optimization (TO) has reduced the difference in the optimized geometry from what can be physically realized. As the reinterpretation stage inevitably deviates from the optimal geometry, each progression in the optimization code that renders the final solution more realistic is beneficial. Despite the efficacy of material extrusion (MEx) in producing complex geometries, select manufacturing constraints are still required. Thus, the purpose of this paper is to develop a TO code which demonstrates the incorporation of MEx specific manufacturing constraints into a numerical optimization algorithm.

Design/methodology/approach
A support index is derived for each element of the finite element mesh that is used to penalize elements, which are insufficiently supported, discouraging their existence. The support index captures the self-supporting angle and maximum allowable bridging distance for a given MEx component. The incorporation of the support index into a TO code is used to demonstrate the efficacy of the method on multiple academic examples.

Findings
The case studies presented demonstrate the methodology is successful in generating a resulting topology that is self-supporting given the manufacturing parameters specified in the code. Comparative to a general TO problem formulation, the optimal material distribution results in a minimally penalized design on a compliance normalization metric while fully adhering to the MEx specific parameters. The methodology, thus, proves useful in generating an infill geometry is fully enclosed regions, where support material extraction is not a possibility.

Originality/value
The work presented is the first paper to produce a novel methodology that incorporates the manufacturing-specific constraint of bridging distance for MEx into TO code. The results generated allow for the creation of printed components with hollow inclusions that do not require any additional support material beyond the intended structure. Given the advancement, the numerical optimization technique has progressed to a more realistic representation of the physical manufacturing method.
Broker-dealer leverage volatility and the US stock prices
Authors: Istiak Khandokar 
Published: July 2021

Purpose
Broker-dealer leverage volatility increases during booms and crisis periods, but its impact on stock prices is relatively unexplored. This paper aims to investigate whether broker-dealer leverage volatility is a key driver for stock prices.

Design/methodology/approach
This paper collects the US quarterly data of broker-dealer book leverage and three leading stock market indicators (S&P 500, DJIA and Nasdaq) for the period of 1967–2018. The research uses a multivariate GARCH-in-mean VAR to examine the impact of leverage volatility on each of the stock market indicators. A split-sample analysis (pre-1990 and post-1990) has also been performed to show the robustness of the result.

Findings
The research finds that broker-dealer leverage volatility does not have any significant impact on stock prices.

Originality/value
Broker-dealers are important financial intermediaries, and there is a huge literature exploring the relationship between their leverage and asset prices. But, the relationship between broker-dealer leverage volatility and asset prices is not explored yet. This study fills the gap and provides the first evidence that broker-dealer leverage volatility does not play any major role in the theory of stock pricing. The research proposes that the stock holding decisions of the investors should depend only on the first moment of leverage and not on the second moment of leverage. The study concludes that high broker-dealer leverage volatility is not a sinister signal for the US stock market.