bluuebunny/crossref_metadata_2025_split huggingface dataset:
Application of metaheuristic algorithms in interval type-2 fractional order fuzzy TID controller for nonlinear level control process under actuator and system component faults*
Authors: Patel Himanshukumar R. , Shah Vipul A. 
Published: February 2021

PurposeThe two-tank level control system is one of the real-world's second-order system (SOS) widely used as the process control in industries. It is normally operated under the Proportional integral and derivative (PID) feedback control loop. The conventional PID controller performance degrades significantly in the existence of modeling uncertainty, faults and process disturbances. To overcome these limitations, the paper suggests an interval type-2 fuzzy logic based Tilt-Integral-Derivative Controller (IT2TID) which is modified structure of PID controller.Design/methodology/approachIn this paper, an optimization IT2TID controller design for the conical, noninteracting level control system is presented. Regarding to modern optimization context, the flower pollination algorithm (FPA), among the most coherent population-based metaheuristic optimization techniques is applied to search for the appropriate IT2FTID's and IT2FPID's parameters. The proposed FPA-based IT2FTID/IT2FPID design framework is considered as the constrained optimization problem. System responses obtained by the IT2FTID controller designed by the FPA will be differentiated with those acquired by the IT2FPID controller also designed by the FPA.FindingsAs the results, it was found that the IT2FTID can provide the very satisfactory tracking and regulating responses of the conical two-tank noninteracting level control system superior as compared to IT2FPID significantly under the actuator and system component faults. Additionally, statistical Z-test carried out for both the controllers and an effectiveness of the proposed IT2FTID controller is proven as compared to IT2FPID and existing passive fault tolerant controller in recent literature.Originality/valueApplication of new metaheuristic algorithm to optimize interval type-2 fractional order TID controller for nonlinear level control system with two type of faults. Also, proposed method will compare with other method and statistical analysis will be presented.
Role of supplier involvement and project leader in SNPD: a conceptual model and exploratory case study
Authors: Wang Yuan , Yang Jie 
Published: February 2021

PurposeThis paper focusses on the factors to sustainable product development (SNPD) projects success. More specifically, it aims to explore and understand the role of supplier involvement (SI) within SNPD. Additionally, it investigates how effective project leaders can facilitate effective supplier involvement and enhance focal firm's ability to successfully carry out sustainable achievement in product development.Design/methodology/approachA theoretical framework among SI, SNPD, project leader's personality and leadership style has been established. Six interviews collected from different industries are used to further explore the relationship among SI, SNPD, leader's personality and leadership style.FindingsThe difficulties in managing suppliers, the timing and extent of supplier involvement, communication method and frequency, as well as supplier contribution and challenge in SNPD has been summarized. The interviews also confirmed that effective leaders who possess certain personality traits enable appropriate supplier involvement, promote prosperous SNPD and enhance the relationship between SI and SNPD performance by allowing individual members, teams and organizations to function well.Originality/valueSustainable new product development (SNPD) has been recognized as one of the key factors to achieve environmental and economic success. The paper explores the role of supplier involvement in SNPD project and emphasizes the role of project leaders in the process.
Dynamic managerial capabilities and sustainable market competencies: role of organisational climate
Authors: Mehta Ahmed Muneeb , Ali Syed Ahmad 
Published: February 2021

Purpose
Managerial capabilities are one of the primary resources in every organisation that have peculiar strategic objectives to fulfil. The purpose of this paper is an effort to dig out how managerial cognition, human capital and social capital as underpinnings of dynamic managerial capabilities (both separate and composite) affect sustainable strategic market creation (SMC) in nascent industries. Moreover, this study unfolds the role of dynamic managerial capabilities (sensing, seizing and reconfiguring) as a key mechanism through which these underpinnings lead to SMC.

Design/methodology/approach
For this purpose, a sample of 497 respondents was collected from top and middle-level managers of insurance companies in Pakistan. Structural equation modelling was used to test a set of direct, indirect and moderation hypotheses.

Findings
Findings revealed that DMC underpinnings have a direct positive impact on marketing and research and development competence dimensions of SMC. Results also confirmed significant mediation paths and substantial moderation of aforementioned organisational climate factors between dynamic managerial capabilities (DMC) and its underpinnings.

Originality/value
It offers a first examination of the possible moderation impact of innovation, flexibility and outward focus between DMC and its underpinnings as essential organisational climate factors.
Optimal pricing model of car-sharing: market pricing or platform pricing
Authors: Liang Ling , Tian Lin , Xie Jiaping , Xu Jianhong , Zhang Weisi 
Published: February 2021

PurposeThe car-sharing market has entered the mature stage, and consumers' demand shows a diversified increasing trend. This paper considers two modes of operation and two pricing strategies, which are business-to-consumer and consumer-to-consumer modes, market pricing and platform pricing. Under these conditions, the platform's revenue-sharing ratio will be different. The purpose of this paper is to explore this research question, and seeks an optimal pricing mechanism that can achieve a win–win situation between platform and automobile manufacturer in the two market modes.Design/methodology/approachThe authors design different profit functions for platform under the two contexts. Of course, the platform's function is constrained to the manufacturer's function. By introducing a revenue-sharing contract a Stackelberg game model dominated by the platform is established and the equilibrium solutions under the two pricing models are derived.FindingsThe study found that even if only market pricing is executed, the scale of the car-sharing market will continue to expand. As the car-sharing market becomes more saturated, platform pricing is better for the automobile manufacturer; in most cases, the platform prefers platform pricing, but when the number of private cars is relatively small, if the cost of car operation and maintenance for the automobile manufacturer is lower or the revenue-sharing ratio of private cars is high, then market pricing will be more favorable to the platform.Practical implicationsWith the cross-border integration of car service platforms and the automobile manufacturing industry, the key to achieving win–win cooperation and sustainable development in the car-sharing market will converge on the question of how to design a suitable pricing mechanism and revenue-sharing method.Originality/valueAuthors have determined how a car-sharing platform achieves a win–win order pricing strategy with the manufacturer and private car owners, respectively. And authors combined the supply chain revenue-sharing contract with the car-sharing market to explore the application of the revenue-sharing contract in the sharing economy.
Quality of learning experience, student satisfaction and perceived overall experience in the COVID-19 context
Authors: Gantasala Venugopal Prabhakar , Gantasala Swapna Bhargavi , Al Tawil Tareq Na'el , Prasad Prerana 
Published: February 2021

PurposeThe intention for this study was to explore any relationship that might exist between quality of learning experience (QLE), the second construct student satisfaction (SS) and the third construct perceived overall experience (POE) among undergraduate students within the higher education context. This study also attempts to explain the path direction between QLE, SS and POE.Design/methodology/approachThe researchers utilized structural equation modeling to analyze the variables considered for this study – QLE, SS and POE and for hypotheses testing. Respondents for this study were medical students' coordinators of the undergraduate level of medical colleges in the 28 states of India. Data collected for the study were possible by utilizing a questionnaire that was emailed to these student coordinators. The emailing effort returned 198 (n) filled questionnaires (complete) representing 198 institutions offering undergraduate-level medical programs out of a total of 542 institutions that offer undergraduate medical programs.FindingsFindings from this study confirm the relationship between QLE with SS, and PLE. Interestingly, the findings established a significant relationship between SS and POE.Practical implicationsDecision-makers and administrators of higher education institutions (HEIs) can utilize the findings from this study to focus on strengthening important elements of QLE in ways that positively impact SS and POE of students taking online courses and program offerings. The study reiterates the importance of course content, course structure, lecture-delivery quality, instructor mentoring and student-instructor interactions on SS and POE. The role of SS in reinforcing confirmation, perceived usefulness, perceived openness of the online courses and the perceived reputation was established. This relationship is key to administrators while they focus on improving SS and building on the institutions' reputation in addition to their efforts to support marketing and enrollments during the pandemic.Originality/valueResearchers in the past have examined the relationships between QLE and another construct of this study – SS. Past research has also examined the relationship between QLE and POE. However, there is not enough research exploring the relationship between SS and POE. This study establishes the relationship between SS and POE that benefits decision-makers in higher education.
Knowledge management processes and organizational culture in the higher educational technical institutions
Authors: Nanjundeswaraswamy T.S , Swamy D.R 
Published: February 2021

PurposeThe rationale of this study is to explore the stages of knowledge management, types of organizational culture and their relationship in higher educational technical institutions (HETIs) in India.Design/methodology/approachA survey instrument has been designed to evaluate knowledge management, organizational culture and their relationship. Further, the instrument has been tested and validated using structural equation modelling. The data have been collected from the faculty working in HETIs.FindingsEmpirical pieces of evidence support that knowledge management in the HETIs is still in the growth stage. Clan-type organization culture is dominating, and there is a significant and positive relationship between knowledge management and organization culture.Research limitations/implicationsThe study has been conducted in the HETIs of India. Therefore, the outcome of the research cannot be generalized to the other sectors. In addition to this, the data have been limited to 233 faculty from the eight HETIs located in Bangalore.Practical implicationsHETIs are trying hard to improve the employability of the students by enhancing their skill sets, knowledge, attitude and innovativeness to meet global challenges. In such an environment, this study provides insight into the stages of knowledge management and the type of organizational culture in HETIs, which will help build a strategic plan and improve students' attributes for better employability and innovations.Originality/valueA positive relationship exists between the knowledge management process and organizational culture in HETIs.
An approach to cost-benefit analysis by competitive advantages with stochastic data
Authors: Khodabakhshi Mohammad , Ahmadi Mehdi 
Published: February 2021

Purpose
The paper aims to present an approach to cost-benefit analysis with stochastic data. Determining the type and the values of alternative’s factors are probably the most important issue in this approach. Therefore, in the proposed approach, a competitive advantage model was built to measure the values of alternative’s factors. Then, a satisfactory cost-benefit analysis model with random data was proposed to evaluate the alternatives. The cost-benefit analysis of each alternative was carried out to obtain the real and satisfactory cost-benefit of the decision-maker.

Design/methodology/approach
This paper is orientationally expressed as a mathematical problem in which the optimization problem needs to analyze the approach. This paper is written based on uncertainty linear optimization. Optimization under uncertainty refers to this branch of optimization where there are uncertainties involved in the data or the model and is popularly known as stochastic optimization problems.

Findings
As was seen in the purpose part, in this paper, an approach is presented to cost-benefit analysis by the use of competitive advantage with stochastic data. In this regards, a stochastic optimization problem to assess competitive advantage is proposed. This optimization problem recognizes the values of alternative’s factors which is the most important step in cost-benefit analysis. An optimization problem is proposed to cost benefit analysis, as well.

Practical implications
To investigate different aspects of the proposed approach, a case study with random data of 21 economic projects was considered.

Originality/value
Cost–benefit analysis is a systematic approach to estimating the strengths and weaknesses of alternatives used to determine options which provide the best approach to achieving benefits while preserving savings. Cost–benefit analysis is related to cost-effectiveness analysis. Benefits and costs are expressed in monetary terms and are adjusted for the time value of money; all flows of benefits and costs over time are expressed on a common basis in terms of their net present value, regardless of whether they are incurred at different times. As seen the paper using competitive advantage tries to determine the values of alternative’s factor. As competitive advantage model analyze the advantages and disadvantages of alternatives, this paper by the use of this idea tries to determine the costs and benefits. Two stochastic optimization problems in the middle of this approach are proposed, which assess competitive advantage and cost–benefit analysis, respectively.
How electronic word of mouth (e-WOM) triggers intention to visit through destination image, trust and satisfaction: the perception of a potential tourist in Japan and Indonesia
Authors: Setiawan Putu Yudi , Purbadharmaja Ida Bagus Putu , Widanta Anak Agung Bagus Putu , Hayashi Toshikatsu 
Published: February 2021

PurposeThe purpose of the paper is to analyze the different results between the effects of electronic word of mouth (e-WOM) on the perception of potential tourist in Japan and Indonesia regarding destination image, destination trust, satisfaction and their intention to visit.Design/methodology/approachThis research method is a structural model. Based on the existing literature review, several variables were obtained which were then analyzed by WarpPLS 6.0 software. The sampling method applied in this study is the purposive sampling technique. Samples of 200 potential tourists were collected in Indonesia and 100 potential tourists were collected in Japan. The population in this study was a potential tourist in Indonesia and Japan, with the following criteria: An Indonesian citizen, age between 19 and 60 years, who has never visited Japan and a Japanese citizen who has never visited Indonesia and have ever read or conduct online discussions regarding Japan and Indonesia as a tourist destination.FindingsThe results of the analysis of the two respondents in Japan and Indonesia prove that e-WOM has a positive effect on the image of the destination and intention to visit but not on the confidence of the destination. Destination image was also proven to significantly mediate the influence of e-WOM on intention to visit. These findings bring important implications for the theory and practice of tourism marketing.Originality/valueTheoretically, the result could be used as a reference for further research about the comparison between the effect e-WOM on destination image, destination trust and intention to visit of potential tourist in developed countries and developing countries. Practically, the result could be used as a consideration for the tourism industry and authority in both countries when formulating the destination marketing strategy.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-03-2019-0111
Appreciative inquiry's potential in program evaluation and research
Authors: Griggs Dana M. , Crain-Dorough Mindy 
Published: February 2021

PurposeThe purposes of this paper are to provide a description of AI and to document and compare two applications of AI, one in program evaluation and another in an applied research study.Design/methodology/approachFocus groups, interviews and observations were used to gather rich qualitative data which was used to detail Appreciative Inquiry's value in evaluation and research.FindingsAI aided the researcher in connecting with the participants and valuing what they shared. In both studies, the use of AI amassed information that answered the research questions, provided a rich description of the context and findings, and led to data saturation. The authors describe and compare experiences with two applications of AI: program evaluation and a research study. This paper contributes further understanding of the use of AI in public education institutions. The researchers also explore the efficacy of using AI in qualitative research and recommend its use for multiple purposes.Research limitations/implicationsLimitations occurred in the AI-Design Stage by using a positive viewpoint and because both program and partnership studied were new with limited data to use for designing a better future. So, the authors recommend a revisit of both studies through the same 4D Model.Practical implicationsThis manuscript shows that AI is useful for evaluation and research. It amplifies the participants' voices through favorite stories and successes. AI has many undiscovered uses.Social implicationsThrough the use of AI the authors can: improve theoretical perspectives; conduct research that yields more authentic data; enable participants to deeply reflect on their practice and feel empowered; and ultimately impact and improve the world.Originality/valueAI is presented as an evaluation tool for a high-school program and as a research approach identifying strengths and perceptions of an educational partnership. In both studies, AI crumbled the walls that are often erected by interviewees when expecting to justify or defend decisions and actions. This paper contributes further understanding of the use of AI in public education institutions.
Process parameter optimization for porosity and compressive strength of calcium sulfate based 3D printed porous bone scaffolds
Authors: Modi Yashwant Kumar , Sahu Kiran Kumar 
Published: February 2021

Purpose
This study aims to optimize the process parameters of ZPrinter® 450 for measured porosity (MP) and compressive strength (CS) of calcium sulfate-based porous bone scaffold using Taguchi approach.

Design/methodology/approach
Initially, a porous scaffold with smallest pore size that can be de-powdered completely is identified through a pilot study. Five printing parameters, namely, layer thickness (LT), build orientation (BO), build position (BP), delay time (DT) and binder saturation (BS), each at three levels have been optimized for MP and CS of the fabricated scaffolds using L27 orthogonal array (OA), signal-to-noise ratio and analysis of variance (ANOVA).

Findings
The scaffolds with 600 µm pores could be de-powdered completely. Optimum levels of parameters are LT2, BO1, BP2, DT1 and BS1 for MP and LT1, BO1, BP2, DT1 and BS2 for CS. The ANOVA reveals that the BS (49.12%) is the most and BP (8.34%) is the least significant parameter for MP. LT (50.84%) is the most, BO (33.79%) is second most and DT (2.59%) is the least significant parameter for CS. Taguchi confirmation test and linear regression models indicate a good agreement between predicted and experimental values of MP and CS. The experimental values of MP and CS at the optimum levels of parameters are found 38.12% and 1.29 MPa, respectively.

Originality/value
The paper presents effect of process parameters of ZPrinter® 450 on MP and CS of calcium sulfate-based porous scaffolds. Results may be used as guideline for powder bed binder jetting three-dimensional printing of ceramic scaffolds.
Advances in additive manufacturing of shape memory polymer composites
Authors: Garces Irina Tatiana , Ayranci Cagri 
Published: February 2021

Purpose
A review on additive manufacturing (AM) of shape memory polymer composites (SMPCs) is put forward to highlight the progress made up to date, conduct a critical review and show the limitations and possible improvements in the different research areas within the different AM techniques. The purpose of this study is to identify academic and industrial opportunities.

Design/methodology/approach
This paper introduces the reader to three-dimensional (3 D) and four-dimensional printing of shape memory polymers (SMPs). Specifically, this review centres on manufacturing technologies based on material extrusion, photopolymerization, powder-based and lamination manufacturing processes. AM of SMPC was classified according to the nature of the filler material: particle dispersed, i.e. carbon, metallic and ceramic and long fibre reinforced materials, i.e. carbon fibres. This paper makes a distinction for multi-material printing with SMPs, as multi-functionality and exciting applications can be proposed through this method. Manufacturing strategies and technologies for SMPC are addressed in this review and opportunities in the research are highlighted.

Findings
This paper denotes the existing limitations in the current AM technologies and proposes several directions that will contribute to better use and improvements in the production of additive manufactured SMPC. With advances in AM technologies, gradient changes in material properties can open diverse applications of SMPC. Because of multi-material printing, co-manufacturing sensors to 3D printed smart structures can bring this technology a step closer to obtain full control of the shape memory effect and its characteristics. This paper discusses the novel developments in device and functional part design using SMPC, which should be aided with simple first stage design models followed by complex simulations for iterative and optimized design. A change in paradigm for designing complex structures is still to be made from engineers to exploit the full potential of additive manufactured SMPC structures.

Originality/value
Advances in AM have opened the gateway to the potential design and fabrication of functional parts with SMPs and their composites. There have been many publications and reviews conducted in this area; yet, many mainly focus on SMPs and reserve a small section to SMPC. This paper presents a comprehensive review directed solely on the AM of SMPC while highlighting the research opportunities.