An integrated SWOT based fuzzy AHP and fuzzy MARCOS methodology for digital transformation strategy analysis in airline industry

Driven by business strategies, digital transformation (DT) facilitates dramatic change in air passenger behavior. This study aims to determine and analyze different DT strategies (DTSs) with the help of an integrated SWOT-based fuzzy AHP-MARCOS methodology that is proposed for the first time in the literature for this purpose. This methodology is validated with a case study concerning the airline industry in Turkey. The weights of the SWOT factors are determined with the fuzzy AHP method. The fuzzy MARCOS approach is used to select the most suitable DTS. The most appropriate strategy is obtained as “focusing on differentiated digital customer experience and service quality by the adaptation of business models to DT to provide benefits”.     

Dynamic management of aircraft stand allocation

This paper aimed to present an original approach for solving the aircraft stand allocation (SA) problem dynamically when due to operational disturbances, the planned allocation cannot be accomplished. The proposed Multiple-criteria Dynamic Stand Allocation (MDSA) method uses fuzzy logic to support decision-making under uncertainty. The MDSA method provides effective solutions in a short time, necessary for traffic management in case of delays, emergency, and untypical cases. It considers partially conflicting points of view of different airport users (airport managers, air traffic controllers, airlines, handling agents, and passengers) and may significantly support managers on the SA problem. The approach proposed can also be used for creating an initial SA plan for a considerable number of aircraft.     

Fuzzy modelling of static system optimum traffic assignment problem having multi origin-destination pair

Traffic congestion is an unpreventable problem to avoid in a transportation network and it has negative effects on traffic accident, time wasting, traffic delay and safety problem. Besides, in transportation networks, drivers do not want to deal with traffic jam while traversing between specified origin-destination pair. Therefore, traffic assignment (TA) is imperative to improve traffic management, transportation safety, time, and cost savings. System Optimum Traffic Assignment Problem (SOTAP) is a kind of TA model which aims to minimize the total system travel time on the network, and satisfies the flow conservation constraints. To model the SOTAP more realistically, the imprecise parameters can be taken as fuzzy. Therefore, in this paper, we focus on converting the conventional SOTAP to a fuzzy quadratic programming problem (QPP) which is named System Optimum Fuzzy Traffic Assignment Problem (SOFTAP). Here, link travel time is expressed with BPR function as generally used in the literature by converting to fuzzy except link-dependent parameters. Thus, the nonlinear objective function of SOFTAP is expressed in terms of fuzzy link flows and fuzzy link travel times. A solution approach from the literature is modified to the reconstructed SOFTAP.     

Investigating the causal configurations of cost-efficient firms at the bottom of the pyramid

This study highlights how social and commercial enterprises with local and global presence, balance their economic and social goals, to sustainably serve the bottom-of-the-pyramid (BoP) markets, predominantly in emerging economies. Employing the lens of transaction cost economics and configurational theory, we propose that successful venturing into the BoP markets, sensitize firms to create appropriate governance mechanisms for reducing transaction costs, resulting in creation and capture of values. Further, these mechanisms enable those firms to attain cost efficiency and sustainability in the process of fulfilling their social objectives. To that end, we employed the case survey method to analyse 42 cases, from the Harvard Business School repository, on multinational enterprises (MNEs) in emerging economies. Further, we used qualitative comparative analysis to uncover the various causal governance configurations that enabled those firms to sustainably serve the BoP markets.     

Sustainable efficiency drivers in Eurasian airports: Fuzzy NDEA approach based on Shannon's entropy

This research explores the physical infrastructure and flight consolidation efficiency drivers of Eurasian airports regarding their infrastructure and movement productivity levels. A novel Fuzzy Double-Frontier Network DEA (FDFNDEA) model is proposed to investigate the relationship between desirable (freight and passenger turnovers) and undesirable (pollutant emission levels due to aircraft movements) outputs against the respective infrastructure usage, fuel consumed, and movements performed at each of the 23 Eurasian airports from 2000 to 2018. This balance between desirable and undesirable outputs emerges spatially and temporally due to the evolution of the airport system's productive resources at each one of the Eurasian countries over the period observed. Shannon's entropy is used as the cornerstone to quantify the input and output vagueness of this evolution in Triangular Fuzzy Numbers (TFN), thus allowing the accurate building of alternative optimistic and pessimistic double-frontier efficiency. Differently from previous research, Shannon's entropy is the key for measuring input and output vagueness levels in light of the maximal entropy principle. This principle states that the distribution that best represents the current state of knowledge is the one with largest entropy. Maximal entropy yields bias-free decision-making in the sense that the input/output distributional profiles for Eurasian airports contain the maximal possible heterogeneity, working as a robust or best/worst-case scenario against eventual unconsidered assumptions. Hence, optimistic and pessimistic Malmquist Productivity Indexes (MPI) for overall and each stage productivity results are subsequently regressed against contextual variables related to airport characteristics and regional socio-demographic and economic indicators of each Eurasian country using bootstrapped Cauchy regressions. The findings revealed the spatial heterogeneity of productivity factors and airport performance across Eurasia. Results also demonstrated the negative impact of income inequality and the positive impact of private participation on technological progression in the Eurasian airport industry.     

Value Relevance of Comprehensive Income for the Canadian Market*

The value relevance of comprehensive income (CI) compared to net income (NI) remains unresolved. We look at this issue in the Canadian market, using association methods to determine the value relevance of reporting CI and other comprehensive income (OCI) components for stock prices and returns. The sample consists of all the firms in the S&P/TSX Composite Index that prepared their financial statements according to Canadian standards or International Financial Reporting Standards (IFRS) over the 2008–2016 period. Although we find no evidence that CI is more value relevant than NI for stock prices and returns, we note that some OCI components are incrementally value relevant beyond NI for both amounts. In addition, financial services firms differ from other companies in terms of the relationships between some of their OCI components and prices or returns, with such firms even driving some relationships. Relationships between OCI components and prices or returns are also affected when data from the financial crisis period are excluded, with some relationships even changing after IFRS adoption. These results inform Canadian standard setters and financial statement users that OCI components are decision useful for the Canadian market.     

Diversified behavioral portfolio as an alternative to Modern Portfolio Theory

The traditional mean–variance approach has been complemented by alternative theories that use risk measures different from standard deviation of returns or involve additional distributional features of returns like skewness and kurtosis. We propose a portfolio choice model that combines different distributional characteristics of the returns in the decision-making making process, considering preferences of investors which are modeled as non-statistical uncertainties of investors using fuzzy theory. We use 20 stocks of the S&P500 from January 2013 to December 2017. We assess the obtained portfolios’ performance, and the diversified behavioral portfolios outperform than the mean–variance portfolio. This methodological proposal can be seen as a strong managerial tool to make investment portfolio decisions.     

海关支持综合保税区高水平开放高质量发展研究——以江苏省综合保税区为例

2019年1月12日,国务院印发了《关于促进综合保税区高水平开放高质量发展的若干意见》(国发〔2019〕3号,以下简称《若干意见》),推出21项政策措施加快推进制度创新、促进综合保税区(以下简称“综保区”)升级发展。文件出台后,各地综保区围绕“五大中心”的建设目标,在海关及其他相关职能部门的支持下,加强政策宣传,推动改革创新,强化考核评价,努力推动各项政策落地。为了更好地推进综保区高水平开放高质量发展,课题组对江苏省综保区发展情况开展全方位调研,并且以江苏省综保区为例,对当前制约综保区发展的原因,特别是影响《若干意见》实施效果的原因进行了深入分析,按照制度型开放的要求,从管理机制、发展目标、监管模式等角度提出合理建议,探索新时期海关支持综保区高水平开放高质量发展的路径。     

跨界创新在突破性技术创新模糊前端的作用机制

基于“互联网+”大背景，跨界创新成为实现突破性技术创新的重要形式。通过现有文献分析，构建了跨界创新在突破性技术创新模糊前端的作用模型，并运用案例研究法，以无人驾驶汽车为例对模型进行释义。研究表明，跨界创新在突破性技术创新模糊前端起到重要作用，跨界创新可分为跨界搜索与跨界合作，跨界搜索有助于创意搜集和创意筛选，识别突破性技术创新机会；跨界合作有助于提升研发效率和成功率；跨界搜索与跨界合作相辅相成，共同致力于突破性技术研发成功。     

为何言路难开?领导拒谏构念维度与形成机理探究

员工谏言不仅具有建设性,而且具有挑战性和结果的不确定性,使得领导者可能纳谏也可能拒谏。然而,现有研究主要关注员工谏言与领导纳谏,却忽略了领导拒谏。本研究在回顾员工谏言及相关研究的基础上发现,领导者会对员工谏言进行建设性评估和威胁性评估,具有建设性和防御性两种行为目的。基于此,首先,从领导者的双元行为目的出发探讨了领导拒谏的概念与维度,依据发展视角、人际视角和防御视角将领导拒谏划分为:指导员工驱动的拒谏、维持关系驱动的拒谏、保证权威驱动的拒谏。其次,分析了领导拒谏的形成机理,从谏言内容、谏言员工和谏言行为三方面考察领导者对员工谏言的认知评估过程,详细讨论了组织距离如何通过领导注意间接影响领导拒谏,并探讨了权力距离在领导注意与领导拒谏之间所具有的调节作用。本研究有助于推动领导拒谏的理论构建,拓展认知评估理论的应用,而且能为组织管理实践给予一定的参考与借鉴。