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In the development processes of a product’s market life cycle, there are three phases of an enterprise’s innovation: new product development, production processes, and product management. In this article, the analyses of benefit and costs, value, and profit to companies are discussed in different stages. New logistics features that appear in an enterprise’s supply chain based on innovative modeling are discussed. Then a logistics model and its technical system based on the classified logistics center are established, which are appropriate for innovative modeling within an agile supply chain. Using the basic theory and techniques of ‘extenics’, the formal conception of innovative modeling-based manufacture in logistics is presented, and the matter-element models are established. Finally, a case study demonstrates the results.

A new integrated method based on the means‐end chain (MEC) analysis and factor analysis is proposed for developing intangible product‐mix strategies for convenience store (CVS) chains. With variables obtained from a survey on CVS service items, both analyses were used to derive the hierarchical value factor map (HVFM). The new map can handle and develop strategies for product differentiation, advertising and market segmentation. The purpose of this article is two‐fold: to propose improvements for the traditional MEC method of constructing the service hierarchical value map (HVM) and to formulate effective intangible‐product strategies.

This study aims to explore the challenges faced by the tourism and hospitality industry following the COVID-19 pandemic and to propose effective strategies for recovery and resilience of this sector.

The study analysed the challenges encountered by the tourism and hospitality industry post-pandemic and identified key strategies for overcoming these challenges. The study utilised the modified Delphi method to finalise the challenges and employed the Best-Worst Method (BWM) to rank these challenges. Additionally, solution strategies are ranked using the Criteria Importance Through Intercriteria Correlation (CRITIC) method.

The study identified significant challenges faced by the tourism and hospitality industry, highlighting the lack of health and hygiene facilities as the foremost concern, followed by increased operational costs. Moreover, it revealed that attracting millennial travellers emerged as the top priority strategy to mitigate the impact of COVID-19 on this industry.

This research contributes to understanding the challenges faced by the tourism and hospitality industry in the wake of the COVID-19 pandemic. It offers valuable insights into practical strategies for recovery. The findings provide beneficial recommendations for policymakers aiming to revive and support these industries.

By analyzing tourist choices in Side and Alanya, well-known destinations for tourists in Türkiye’s thriving urban tourism sector, this study aims to fill a crucial vacuum in the body of knowledge about urban tourism. The study examines the changing dynamics of consumer preferences for advertisements and closely examines the underlying factors that influence these preferences, both pre and post-influential COVID-19 period.

This study clarifies the complex interplay between tourism marketing and prospective tourists’ decision-making processes through a thorough examination. This research greatly improves our understanding of urban tourism marketing strategies by examining the varying effects of advertising channels and comparing the persuasive power of emotional versus numerical advertising messages.

This study’s findings significantly advance our understanding of urban tourism. Examining how visitors react to advertisements in the various urban environments of Side and Alanya offers insightful information on how marketing strategies and visitor preferences correlate. This research also reveals the subtleties of efficient communication techniques, providing a practical basis for improving urban tourism experiences.

Being the first study of its sort, to the best of the authors’ knowledge, this research’s originality is supported by its insights into how advertising, consumer preferences and the urban tourism environment interact. The significant contribution to knowledge highlights the implications for those involved in urban tourism and provides practical advice for improving advertising tactics in the post-COVID-19 age.

This study searches for sentimental herding in Borsa Istanbul (BIST) during the last decade using a state-space model employing cross-section standard deviations of systematic risk (Beta). It has been found that herding toward the market in the BIST-100 is both statistically significant and persistent independently from market fundamentals such as the volatility of returns and the levels of market returns. Herding trends over the sample period indicate that the financial crisis in 2000–2001 appeared to bring about sentimental herding in BIST which was followed by a calm period during which investors turned to fundamentals. Thereafter, we observe a volatile adverse herding pattern till the end of 2011 due to the confusing environment caused by the internal and external events.

Internet technology and social media especially from mobile social commerce are known to have lavish impacts on the economic development. The purpose of this study was to identify the impact of the online market on the level of social welfare of online market traders which is proxies by the level of income. Bulan Terang Utama (BTU) area was used as an object in this study due to the fact that it is a subsidized housing area with a level of middle-income community income. The method used in this study was a quantitative method using the analysis of three-stage least square (3SLS). The results of the 3SLS estimation indicate that there was a significant increase in online seller income with the presence of the BTU online market. This situation happened by the fact that many buyers switch to sellers after they join the BTU Online Market. They began as a buyer and then offered their merchandise through the online market and became a permanent seller in this group. When many residents in these areas are using online markets as their primary place for selling, there will be need for strong connectivity (internet network) in each region to develop current economic activities. Furthermore, the government rule in enhancing technology literacy is also very important especially for the middle to lower regions.

This study aims to examine the role of financial inclusion and institutional factors such as corruption and the rule of law (RL) on the credit risk and stability of banks.

The study considers a sample of 61 developing countries and uses very robust estimation techniques that allow controlling for endogeneity, heteroskedasticity and serial correlation, such as instrumental variables method in two-stage least squares (IV-2SLS), instrumental variables generalized method of moments (IV-GMM), as well as system of generalized methods of moments in two stages (Sys-2GMM).

The results confirm that financial inclusion and strengthening the RL can significantly contribute to reducing credit risk and improving the financial stability of banks; in contrast, the authors find that weak control of corruption aggravates credit risk. In addition, they found that greater competitiveness in the banking sector increases credit risk.

This study supports the need to promote financial inclusion and strengthen institutional factors to improve the stability of the banking sector, as well as promote general well-being in the economy.

This study contributes to the scarce literature by simultaneously using institutional factors such as corruption and the RL and macroeconomic variables such as economic growth and inflation in the relationship between financial inclusion and the banking sector, as well as considering competitiveness as an explanatory factor for banks’ credit risk and stability.

This chapter analyses some internal territorial and economic conflicts in Spain among its autonomous communities. The Basque country has a very favourable tax system from 1878, which historically is stipulated in the Spanish constitution as a special case. This generates an asymmetry with respect to the other 18 Spanish communities including Catalonia, which would like to have a fiscal regime similar to that of the Basque country. After the Spanish state has built the fiscal balances for all autonomous communities, the Catalans argue that Spain steals them and they demand independence for Catalonia, which would affect the political and economic stability of the European Union. Specifically, this chapter attempts to describe a way to resolve territorial conflicts that have been exacerbated by the results of the fiscal balances in a context of fiscal decentralisation, since capital stock balances are not considered in the fiscal balances or in the inter-regional balance of payments. In this chapter, a production function approach, where the public capital production factor is separated into internal and imported capital stock, is used to calculate how the capital stock of the transportation infrastructure actually used can affect the labour productivity in each province or region. This study takes into account the direct effects of the capital stock of the road transport infrastructure of a region and the indirect effects that it receives from the use of infrastructures in other regions. Both types of public capital have been calculated by a network analysis, which allows us to calculate the stock of public capital effectively used in commercial activities, across 47 Spanish provinces during the period 1980–2007. The author estimates the spillover effects using spatial panel data techniques including spatial auto-correlation models with auto-regressive disturbances. In terms of labour productivity, the results indicate that the stock of imported capital is highly significant in all estimates while internal capital is not significant for all Spanish provinces, which classifies the Spanish provinces into users and used. This indicates that capital stock balances should be considered in some way into the inter-regional compensation fund to balance local fiscal balances, minimising some conflicts among regions.

Panel data provide the possibilities of estimating individual treatment effects for multiple individuals. Two issues are considered: (1) differences in the estimated individual treatment effects are due to heterogeneity or a chance mechanism? (2) what is the best way to estimate the average treatment effects? Testing and aggregation methods are suggested. Monte Carlo simulations are also conducted to shed light on these two issues. An empirical analysis on the involvement of underground organization in China’s Peer-to-Peer (P2P) activities through the “anti-gang” campaign is also provided.

In this chapter we investigate the finite sample properties of a Hausman test for the spatial error model (SEM) proposed by Pace and LeSage (2008). In particular, we demonstrate that the power of their test could be very low against a natural alternative like the spatial autoregressive (SAR) model.