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This is mainly because the restrictive condition of intuitionistic hesitant fuzzy number (IHFN) is relaxed by the membership functions of Pythagorean probabilistic hesitant fuzzy number (PyPHFN), so the range of domain value of PyPHFN is greatly expanded. The paper aims to develop a novel decision-making technique based on aggregation operators under PyPHFNs. For this, the authors propose Algebraic operational laws using algebraic norm for PyPHFNs. Furthermore, a list of aggregation operators, namely Pythagorean probabilistic hesitant fuzzy weighted average (PyPHFWA) operator, Pythagorean probabilistic hesitant fuzzy weighted geometric (PyPHFWG) operator, Pythagorean probabilistic hesitant fuzzy ordered weighted average (PyPHFOWA) operator, Pythagorean probabilistic hesitant fuzzy ordered weighted geometric (PyPHFOWG) operator, Pythagorean probabilistic hesitant fuzzy hybrid weighted average (PyPHFHWA) operator and Pythagorean probabilistic hesitant fuzzy hybrid weighted geometric (PyPHFHWG) operator, are proposed based on the defined algebraic operational laws. Also, interesting properties of these aggregation operators are discussed in detail.

PyPHFN is not only a generalization of the traditional IHFN, but also a more effective tool to deal with uncertain multi-attribute decision-making problems.

In addition, the authors design the algorithm to handle the uncertainty in emergency decision-making issues. At last, a numerical case study of coronavirus disease 2019 (COVID-19) as an emergency decision-making is introduced to show the implementation and validity of the established technique. Besides, the comparison of the existing and the proposed technique is established to show the effectiveness and validity of the established technique.

Paper is original and not submitted elsewhere.

The aim of this research is to establish a new type of aggregation operator based on Hamacher operational law of spherical uncertain linguistic numbers (SULNs).

First, the authors define spherical uncertain linguistic sets and develop some operational laws of SULNs. Furthermore, the authors extended these operational laws to the aggregation operator and developed spherical uncertain linguistic Hamacher averaging and geometric aggregation operators.

The authors were limited in achieving a consistent opinion on the fusion in group decision-making problem with the SULN information.

In order to give an application of the introduced operators, the authors first constrict a system of multi-attribute decision-making algorithm.

The aim of this study as to find out an approach for emergency program selection.

The authors have generated six aggregation operators (AOs), namely picture fuzzy Yager weighted average (PFYWA), picture fuzzy Yager ordered weighted average, picture fuzzy Yager hybrid weighted average, picture fuzzy Yager weighted geometric (PFYWG), picture fuzzy Yager ordered weighted geometric and picture fuzzy Yager hybrid weighted geometric aggregations operators.

First of all, the authors defined the score and accuracy function for picture fuzzy set (FS), and some fundamental operational laws for picture FS using the Yager aggregation operation. After that, using the developed operational laws, developed some AOs, namely PFYWA, picture fuzzy Yager ordered weighted average, picture fuzzy Yager hybrid weighted average, PFYWG, picture fuzzy Yager ordered weighted geometric and picture fuzzy Yager hybrid weighted geometric aggregations operators, have been proposed along with their desirable properties. A decision-making (DM) approach based on these operators has also been presented. An illustrative example has been given for demonstrating the approach. Finally, discussed the comparison of the proposed method with the other existing methods and write the conclusion of the article.

To find the best alternative for emergency program selection.

The purpose of this paper is to unveil negative outcomes associated with an absence of guanxi in a buyer–supplier relationship in Chinese logistics industry.

This study uses a case study methodology using 16 semi-structured interviews with managers engaged in the process of buying and selling logistics services in China.

Based on the qualitative interviews, managers experience lack of trust, lack of communication flow and reduced business volume when guanxi is absent in a buyer–supplier relationship in the Chinese logistics industry.

This study has some limitations. First, the results of this study are not generalizable to a broader population. Second, this study explores behavioral patterns with respect to Chinese business culture only.

Firms can use the findings from this study to understand the consequence they can face when guanxi is absent in a buyer–supplier relationship.

This study attempts to offer a balanced perspective on the role of guanxi in a buyer–supplier relationship, particularly in the Chinese logistics industry, by considering how an absence of guanxi generates negative outcomes for firms.

Cervical cancer (CC) is one of the most important health issues faced by women worldwide. The purpose of this study is to identify Jordanian women’s knowledge, barriers and measures pertaining to risk factors and screening choices of CC (Pap smear tests).

This study applied a cross sectional design by collecting data from a convenient sample of 200 women between 20 and 70 years of age in health and public centers in Jordan. Data was then analyzed using the descriptive statistical tools of SPSS, version 21.

The findings revealed that 55.5% of the participants had no information about the Pap smear, and 75% did not know the risk factors. Moreover, 50% of the sample did not know where to take the test, and 50% reported a lack of encouragement from the husband to undertake the test. More than half of the participants (56.5%) expressed fear that cervical screening would be a painful examination even though they reported not having any previous experience with the test.

Based on these findings, public education about CC screening is essential, including advertising and a campaign similar to the breast cancer awareness programs in Jordan, as a way of encouraging early screening to improve the health of women.

This study aims to examine the roles of advertising (ADV) and sales promotion (SP) in creating airline brand equity (BE) in the UAE, and to test the mediational effect of customer perceived value on the proposed relationships. Additionally, the study examines the outcomes of airline BE (i.e. trust, satisfaction and loyalty).

A structured and self-administered survey was used targeting 234 passengers, from which 197 were valid for the analysis. Exploratory and confirmatory factor analyses were used to assess the research constructs unidimensionality, validity and composite reliability.

The empirical findings support the direct relationship between ADV and BE. Perceived value fully mediates the effect of SP on BE. In addition, BE positively affects trust, satisfaction and loyalty.

Future research could investigate BE and perceived value as multidimensional constructs. Additionally, future research should expand the effect of other variables such as airline type, airline class and other marketing mix elements.

The findings from this research highlight the importance of both ADV and sale promotion in enhancing airline BE, and the pivotal role of perceived value.

The originality of this research is highlighted in conceptualizing a parsimonious model of the preceding constructs (i.e. ADV, SP, customer perceived quality) and subsequent constructs of BE (i.e. customer trust, customer satisfaction, customer loyalty), which has never been investigated collectively in one model in the literature particularly in the airline’ context of emerging economies such as UAE.

The paper aims to assess the performance of investors that are discriminated based on their risk-appetite who intend to invest in listed Sharia-compliant (SC) stocks to maximize their portfolios’ wealth through two different models (i.e. regime-switching [RS] and non-RS).

Study period (i.e. November 18, 2015–May 31, 2019), well described in two distinct volatility-related bull-regime and bear-regime, is divided into in-sample and out-sample where Rs. 1.00 is invested on the out-sample start date. Each investor’s cumulated wealth forecasted through different models is checked daily throughout the out-sample period, and then, analyzed based on investors’ cumulated ending wealth, and Sharpe ratio (SR) is obtained through different models.

The ending wealth of risk-averse and risk-neutral investors obtained through RS-models increased 5.27 times while that of risk-taker investors increased 5.13 times. However, ending wealth obtained through non-RS models remained far low. The SR remained unchanged among investors. However, the SR of RS models (i.e. 1.0867) is higher than that of non-RS models (i.e. 0.8681). Overall, RS model-based investments outperformed in all categories of investors.

The study helps the investor during the process of portfolio diversification in their asset(s) selection and limited capital apportionment decisions. It also helps market regulators in formulating regulations and the policymakers in articulating/implementing policies that may protect the stakeholders form consequent disasters, particularly when market switches regimes.

The uniqueness stems from its focus on risk-appetite discriminated investors’ portfolio wealth maximization issue examined through technical analysis using two completely distinct models in the emerging market’s listed SC stocks.

Recent research has highlighted the beneficial role of supply chain resilience for ensuring efficient production and business processes. The purpose of this study is to explore enablers of supply chain resilience. In particular, the authors examine whether and how dynamic capabilities and knowledge management can help firms develop a resilient supply chain in times of high disruption and uncertainty.

A single longitudinal case study design was adopted. Data was collected over 8 years from a Pakistani textile producer and supplier through semi-structured interviews and was analyzed through NVivo to generate codes and themes that contributed to the development of the supply chain resilience model.

The analysis of case study shows that our focal firm strategically acquired, transferred and integrated market knowledge by investing in digital technologies and idiosyncratic resources and consequently developed a supply chain model that was resilient in addressing logistics and delivery challenges in uncertain & critical times.

The study brings together three main research streams of organizational theory, namely supply chain, knowledge management and dynamic capabilities, and proposes a nuanced resilient supply chain model.

By applying the research findings, managers can adjust, develop and adopt supply chain resilience to address market volatilities, thereby creating value and longevity in their supply chain operations. However, the findings are context specific and should be applied cautiously.

The outcomes provide early hints on how companies in emerging economies can adopt and integrate novel digital technologies, and overhaul their organizational routines to facilitate knowledge management and develop dynamic capabilities, and consequently enhance the resilience of their supply chain operations.

The purpose of this paper is to make a comprehensive analysis of 354 publications about Pythagorean fuzzy sets (PFSs) from 2013 to 2020 in order to comprehensively understand their historical progress and current situation, as well as future development trend.

First, this paper describes the fundamental information of these publications on PFSs, including their data information, annual trend and prediction and basic features. Second, the most productive and influential authors, countries/regions, institutions and the most cited documents are presented in the form of evaluation indicators. Third, with the help of VOSviewer software, the visualization analysis is conducted to show the development status of PFSs publications at the level of authors, countries/regions, institutions and keywords. Finally, the burst detection of keywords, timezone review and timeline review are exported from CiteSpace software to analyze the hotspots and development trend on PFSs.

The annual PFSs publications present a quickly increasing trend. The most productive author is Wei Guiwu (China). Wei Guiwu and Wei Cun have the strongest cooperative relationship.

The implication of this study is to provide a comprehensive perspective for the scholars who take a fancy to PFSs, and it is valuable for scholars to grasp the hotspots in this field in time.

It is the first paper that uses the bibliometric analysis to comprehensively analyze the publications on PFSs. It can help the scholars in the field of PFSs to quickly understand the development status and trend of PFSs.