Annals of Operations Research

Zhang, Jingqiang; Raza, Mohsin; Khalid, Rimsha; Parveen, Rehana; Ramírez-Asís, Edwin Hernan

doi: 10.1007/s10479-021-04334-3pmid: 34776572

There has been substantial research on megaprojects in project management literature. However, there is dearth of studies empirically investigating performance of new launched megaproject of Thailand that named as “Phuket sandbox”. The core purpose of this project is to normalize covid-19 situation and resuming tourism in Thailand. Therefore, the evaluation of project performance is essential to achieve the targeted goal for success. The purpose of this study is to investigate the factors that affect project performance (Phuket sandbox) in Thailand. This study used quantitative approach based on structured questionnaire and the data was collected from Phuket, Thailand. The survey conducted from team members which are tourism stake holders’ team, immigration team and public service teams including hospitals and hotels who were supposed for the management of Phuket tourism sandbox operations. The study got 222 valid responses only as the members were so busy and partial lockdowns in Thailand hindered the data collection process. The proposed hypothetical model tested by partial least square structural equation modelling. The results of the study found mix findings. The independent variables are team knowledge management, interpersonal conflict, organizational trust, and as significant and dependent variable as project performance through the mediation of psychological capital. The all relationships found to be significant except problem solving competence which have insignificant relationship with project performance as well as problem solving competence and organizational trust have insignificant relation with psychological capital.

Zhang, Honglei; Zang, Zhenbo; Zhu, Hongjun; Sharma, Sunil Kumar; Sridhar, S.

doi: 10.1007/s10479-021-04336-1pmid: N/A

Business growth is an area that the company is expanding and seeking opportunities to make more gains. The industry decision-making process is a step-by-step process that allows professionals to address challenges by weighing evidence, examining alternatives, and selecting a path. This certain method offers a chance to analyze whether the decision is right at the end of the day. In this paper, an Improved Data Analytics Model (IDAM) has been suggested to develop business and boost industrial decision-making. New industrialization strategies are poor in market acceptance. Data analytics describes a quantitative decision-making approach and allows a company to predict the customer's behavior, boost decision-making in general, and assess the return of marketing activities. By managing these aspects, the company can maintain its market share and grow into new territories. Data analytics offer better operating efficiency and higher sales with increased business growth. The proposed method analyzes data analytics's efficiency from providing greater market value, ensuring growth and investment. The graphical process has demonstrated the financial benefit of observations for market development using data analytics. As a result, IDAM helps industries increase revenues, enhance organizational effectiveness, optimize marketing strategies and endeavor customers.

Li, Ben; Guo, Xiaolong; Liang, Liang

doi: 10.1007/s10479-021-04337-0pmid: N/A

To mitigate the oversold penalty cost of overbooking, airlines are gradually paying attention to the intelligence-based opaque selling strategy to coordinate the capacities among flights. Using this opaque selling strategy, the airline sets a number of seats on several flights as “opaque seats” based on automatically estimated consumer attributes from big data, and the ticket buyers will not be informed about the exact flight information until a few days before departure. These flights with opaque seats should share most commonalities from a user point of view and yet have a few differences, such as close departure/arrival times or nearby departure/destination airports. These differences, however, are acceptable to customers who are insensitive to them when choosing a flight and therefore they might choose to book opaque seats in exchange for a price discount offered by the airline. To explore the effectiveness of this selling strategy, the current paper models a newsvendor problem with stochastic demand. The optimal pricing decision and capacity allocation are obtained and analyzed. Results show that there exists a relationship between the optimal allocated capacities of these flights, and the airline can adjust its capacities to the optimal values according to this relationship. Besides, the airline is suggested to allocate more capacities for opaque seats if the demand variance is high or the variation of consumer’s preferences is low; on the contrary, the airline should set a lower price for the opaque seat when the variance or the variation is high. Numerical experiments are presented to show the effectiveness of opaque selling strategy, and the result indicates that in most cases this strategy brings a 40% profit increment compared to conventional strategy.

Gul, Raazia; Ellahi, Nazima; Al-Faryan, Mamdouh Abdulaziz Saleh

doi: 10.1007/s10479-021-04338-zpmid: 34785835

It is evident in the literature that both intellectual capital and big data analytics create value to the organizations independently, but how threats, opportunities, capabilities and value creation for intellectual capital change with big data adoption is largely unexplored. This paper aims to develop an analytical framework for identifying challenges, opportunities, capabilities and value creation in the face of complementarity between big data and components of intellectual capital. The paper uses a Collective Intelligence approach as a theoretical background. Based on Structured Literature Review, the current study has developed an analytical framework for organizations to be used as a decision-making tool while making investment in big data and managing intellectual capital. Findings suggest that the scope of human capital has changed largely as now employees are expected much more than in the past with strong analytical, dynamic, technical and IT capabilities. Structural capital calls for new practices, routines and procedures to be adopted and old methods to unlearn whereas relational capital stresses the importance of network building and social media to create sustainable value for the society.

Yang, Zaoli; Gao, Yue; Fu, Xiangling

doi: 10.1007/s10479-021-04339-ypmid: 34744239

In the process of hotel reservation on online traveling platforms, online reviews, as a fundamental source where the actual information of a product can be had access to, have been attached with high importance by customers when they have difficulty making a decision on which hotel to pick. However, with enormous amount of online reviews distributed in diverse online traveling platforms, customers tend to have few patience or time to manually read all these reviews and get the exact information they want. Inspired by the widespread application of aspect-based sentiment analysis in the field of data mining, a bidirectional long short-term memory (Bi-LSTM) and attention mechanism based model to predict multiple attributes of a product from online review texts is proposed. Experimental result shows that such Bi-LSTM with attention mechanism model apparently improves the accuracy of the prediction, compared with single LSTM model. Meanwhile, based on the output of the prediction, we analyze and transfer it into a statistical matrix. With an intuitionistic fuzzy compromise decision-making method VIKOR applied, an overall ranking, according to multiple product attributes can be made, in which way to help customers make decisions. To prove the rationality of the algorithm, online hotel reviews from three stream online travelling platforms are crawled as a case.

Feng, Shaohong; Bai, Yangmin

doi: 10.1007/s10479-021-04340-5pmid: N/A

As an emerging economic form, airport economy can effectively promote regional economic development and industrial structure transformation. In this subject, most of the researches propose their own analysis from the perspective of airports, and they rarely involve the "Airport-Industry-City" system. This study uses panel data of 12 airport economic demonstration zones in China from 2006 to 2019. It also employs a composite system model to measure the synergy of "Airport-Industry-City" system in each airport-industry demonstration zone, to empirically analyze the "Airport-Industry-City" system and the impact of coordinated development on the regional economy. This research shows that the overall synergy of the "Airport-Industry-City" is increasing continuously in various airport economic demonstration zones. Based on the results, the "new first-tier" cities in the eastern and central regions have the fastest growth rate of synergy, while it is overally low in the western region. The orderliness of the various subsystems of "Airport-Industry-City" is increasing year by year, but the growth rate is inconsistent and there are certain fluctuations. The coordinated development of the " Airport-Industry-City " can effectively promote the development of the local economy, but the overall impact is still small. The airport subsystem and the airport new city subsystem have made greater contributions to local economic development, while the airport industry subsystem has a weaker impact. Policy support, human capital, and openness also play key role in local economic development.

Yu, Hongxin; Zhao, Yuanjun; Liu, Wei; Gao, Luwen

doi: 10.1007/s10479-021-04341-4pmid: 34703070

Small and medium-sized enterprises (SMEs) are an important part of stimulating market vitality. In the post-pandemic era, the ability of SMEs to absorb employment plays an important role in stabilizing society and promoting economic growth. This paper selects 226 sample data from 2014 to 2017 measures the investment efficiency of small and medium-sized enterprises and makes a further analysis its influencing factors. Because there is a lag between investment and output. In this paper, the grey correlation analysis is used. Measuring the investment efficiency of SMEs by using BBC-DEA method. The study found that the overall investment efficiency of SMEs is low. Considering from the inside of the enterprise, this paper uses the Tobit model to make an empirical analysis. It is found that the influence of board structure and agency cost on investment efficiency are significantly negative. Growth, ownership concentration, equity incentive, salary incentive, profitability of SMEs have a significant positive effect on the investment efficiency of enterprises.

Yang, Yaxu; Guo, Zixue

doi: 10.1007/s10479-021-04342-3pmid: N/A

Aiming at the evaluation of emergency management intelligence capability in the case of public emergencies, a MULTIMOORA multi-attribute decision-making method dependent on probability language is developed in the context of probability language information. First, the evaluation index system of emergency management intelligence capability is established. Considering the hesitation and preference degree of experts in the evaluation process, the evaluation information of experts is expressed by using the probabilistic language term sets. Second, the cumulative prospect theory is extended to the probabilistic language environment, and the cumulative prospect decision matrix is established to calculate the weight. Third, the MULTIMOORA method is extended dependent on the probabilistic language term sets to obtain the final emergency capability evaluation. Finally, an instance is provided to verify the feasibility of the developed method.

Zeng, Bin; Sanz-Prieto, Ivan; Luhach, Ashish Kr.

doi: 10.1007/s10479-021-04348-xpmid: N/A

Human activity recognition is one of today's key fields of automated video surveillance. The technology of smart surveillance technology plays a crucial role. Despite efforts in recent years, it is still difficult to recognize human behaviors from live video. Human activity can vary from basic behaviors to complicated behaviors. Depth cameras currently released have an efficient 3D estimate of body connecting locations in the temporal depth map collection. This article proposed a method for recognizing human behavior and considered the challenge of achieving a descriptive marking of activities by labeling individual sub-activities. The behaviors take place over a long period and have many sequential sub-activities. A sports activity prediction of video surveillance framework is proposed in this article. The suggested operation descriptor considers the sequence classification challenge to be the behavior recognition problem. Deep Learning is used to detect human behaviors in the proposed method. The method is tested on two regular identification benchmark functions. Effects of the research revealed that the solution developed exceeds cutting-edge methodologies.

Zhu, Wangli; Shi, Meixia

doi: 10.1007/s10479-021-04350-3pmid: N/A

This paper looks at the possibilities of implementing the Belt and Road (B&R) initiative. The B&R has often named the innovative silk road from the ancient Silk Road, which has shaped the prosperity of ‘on the road’ nations from China to the world. This paper would include an overview of the B&R, outline current trends, scope economic integration prospects, policy problems, management challenges, and technological improvement. In this paper, a Hierarchical employment strategy framework (HESF) has been proposed to improve financial development and trade transparency to enhance the environmental sustainability of the B&R initiative, which improves the country’s economic growth. Assess industrial per capita added benefit and transport goods environmental quality. The proposed analysis is optimistic and greatly influences CO2 emissions and job prosperity on energy use, including the BRI council and the Organization for Economic Co-operation and Development. It affects education and identifies potential pitfalls and the findings demonstrate that workers are provided with resources to learn from this global initiative. The numerical outcome suggested HESF method develops economic growth (98.2%), trade development (99.1%), financial development (97.2%), inter-regional connectivity (95.2%) and road density (96.6%).