Traditional Operating Models Research Articles

The Sharing Economy: Analyses and Perspectives from an Economic Perspective

As an emerging economic model, the sharing economy has developed rapidly over the past decade, revolutionising and upgrading the way people consume goods and services. This model connects idle resources with the da roside through a technological platform, effectively improving the efficiency of resource utilisation, while also challenging the traditional market operation model. The direct impact of the sharing economy on the structure of the economy and the transformation of consumer attitudes as well as lifestyles it embodies have attracted widespread discussion and attention. This study aims to analyse in depth the nature of the sharing economy, its operating mechanism and its impact on traditional economic theory and practice from the perspective of economics, with a view to providing a comprehensive understanding and evaluation of the phenomenon.This paper adopts the methods of literature review, case analysis and comparative study to explore in depth the economic principles and practical applications of the sharing economy. The study first reviews the development history of the sharing economy and clarifies its concepts and characteristics, then analyses its impact on economic theory and market operation, and finally explores the various challenges and coping strategies in the face of the rapid development of the sharing economy. Through this research, the paper aims to provide a comprehensive analysis of the sharing economy phenomenon, offering insights and recommendations for policy makers, market participants, and academics.

Analysis and modeling of detours in pedestrian operational navigation

Traditional operational navigation models for pedestrian dynamics demonstrate limitations in reproducing the circle antipode experiment, an artificially designed multi-directional flow scenario. In the experiment, pedestrians take detours to avoid the congestion caused by others taking straight paths. Although the pedestrian detour action is commonly incorporated into the route choice model, it frequently goes unaddressed in the operational navigation model, resulting in a disparity between simulation outcomes and empirical observations. To reveal the mechanism underlying pedestrian detours in the circle antipode experiment, this study employed the K-means clustering method rather than using a threshold approach to categorize the experimental participants into groups taking direct or detour routes. Following this, a heuristic function is formulated to determine the desired direction of agents in a collision-free velocity model, reflecting the trade-off between shorter routes and faster speeds. The parameter of the proposed function is calibrated using the proportion of agents choosing detours, where the route types of agents are identified by a classifier based on the random forest. Compared to two traditional models that do not consider detours, the proposed model can more realistically reproduce the trajectory distributions, the travel time, the route length, and the time series of relevant variables in the circle antipode experiment. The study offers insights into employing machine learning methodologies for analyzing pedestrian flow, validating pedestrian dynamics models, and providing an accurate simulation tool for designing transportation facilities and crowd management at large events.

Research on the Application of BIM in the Operation and Maintenance Management of University Libraries

With the rapid development of information technology, university libraries, as important carriers and service providers of academic resources, are facing more and more challenges in the digital age. The traditional library operation and maintenance management model can no longer meet the growing demand. However, there is currently relatively little research on BIM based operation and maintenance management of university libraries. Although BIM technology has achieved significant results in the construction industry, its application in the library field has not yet been fully developed and explored. Therefore, this study aims to fill this knowledge gap by utilizing the advantages and characteristics of BIM technology to propose an operation and maintenance management model suitable for university libraries, in order to achieve more efficient, intelligent, and sustainable operation and maintenance management.

Leveraging Digital Marketing For Traditional Grocery Businesses

This study examines the implementation of digital marketing strategies in a traditional grocery distributor in Malang, Indonesia, operating with conventional methods. The research, conducted from June to September 2023, follows an action research methodology encompassing identification, design, implementation, and evaluation stages. The initial identification phase, through interviews and observations, highlighted the distributor's limited customer reach, necessitating a digital marketing approach for market expansion. The subsequent design phase involved creating tailored content for social media platforms like TikTok and Instagram, including product photos, videos, and storytelling in captions. The strategy implementation stage saw these plans executed, with significant content posted across platforms and the successful integration of an e-catalogue and Google Business for enhanced online visibility. The project evaluation revealed increased customer engagement on social media, indicating effective strategy implementation. However, challenges in quantitatively assessing direct sales impact due to the distributor's traditional operation model were noted. The study suggests that while immediate sales increases were not definitively measured, the strategy laid the groundwork for future growth and market expansion. The research highlights the importance of digital marketing for traditional businesses in adapting to the digital era and underscores the necessity of establishing clear KPIs for effective strategy evaluation..

Navigating Global Leadership Strategies for E-Enabling Technology Deployment

Objective: The objective of this research was to explore and understand the experiences of global corporate leaders in adopting e-enabling innovations and the associated leadership challenges. The research aimed to identify the leadership skills, knowledge, and practices that facilitate the transition from traditional operational models to leaner e-enabled approaches.
 
 Method: This qualitative phenomenological research engaged 20 global corporate leaders in an in-depth examination of their leadership experiences. The research focused on how these leaders employed their skills and knowledge to drive the transformation of their corporates into more efficient and interconnected entities through e-enabling technologies.
 
 Results: Four distinct themes emerged from the analysis of the corporate leaders’ experiences. The findings highlighted the significant influence of transformational leadership attributes combined with the e-leadership approach on the successful implementation of information technology initiatives. The leaders’ insights emphasized the transformative effects of their leadership on both corporate strategies and technological decisions. Additionally, the study revealed the identification of best practices and procedures that contribute to effective e-enabling technology adoption.
 
 Conclusion: Embracing e-enabling best practices and employing transformational leadership approaches have a positive impact on the quality of information technology implementations in corporate settings. The research underlines how leaders’ experiences can help them recognize the broader implications of their leadership styles on technology-driven decisions. Consequently, this recognition supports the development of effective strategies for successful e-enabling technology integration. Furthermore, the study highlights the necessity of aligning mentoring, training, and education strategies with corporate goals to enable the adoption of new e-leadership approaches. As organizations continue to navigate complex technological landscapes, the cultivation of 21st-century e-leadership skills become essential for effectively managing changes in team capabilities, processes, and knowledge management.

Optimization of integrated energy system considering transmission and distribution network interconnection and energy transmission dynamic characteristics

The traditional hierarchical scheduling and operational model of transmission and distribution networks has failed to fully utilize the adjustable resources of the entire grid, consequently limiting the integration of renewable energy. To fully excavate the potential of transmission and distribution (T&D) coordination in enhancing the level of renewable energy assimilation and operational efficiency, in this paper, transmission grid and distribution network in the framework of synergetic unit commitment (TDS-UC) considering the dynamic characteristics of the electricity-gas-heat integrated energy system is proposed. The framework developed in this paper allows for the integration of multiple energy sources, including electricity, gas, and heat, into the dispatch strategy of the TG. To improve scheduling flexibility, the dynamic characteristics of the natural gas and heating networks are also considered in the TDS-UC model. A coordinated interactive optimization model for T&D is formulated, taking into account the multi-energy coupling relationship of the IES. To solve the TDS-UC model, a decentralized analytical target cascading algorithm is used to obtain an independent TG optimization problem and multiple ADNs local optimization problems that can be solved in parallel. The proposed model is transformed into an easy-to-solve mixed-integer linear programming (MILP) problem using an improved one-dimensional approximation piecewise linearization method to deal with the non-convexity nonlinear natural gas Weymouth equation. Numerical experiments are conducted on both a T6D2 and a T118D10 test system to demonstrate the efficiency and practicality of the proposed methodology.© 2017 Elsevier Inc. All rights reserved.

МАРКЕТИНГОВІ ТЕХНОЛОГІЇ ПЕРСОНАЛІЗАЦІЇ В ТУРИЗМІ НА ОСНОВІ ШТУЧНОГО ІНТЕЛЕКТУ

The research deals with the analysis of marketing technologies of personalization in tourism based on artificial intelligence (AI). It is noted that one of the latest transformations in the field of tourism is caused by the development of information and communication technologies based on innovations in AI. It has been established that personalized travel and an individual approach to tourists by travel companies is one of the most important trends in the modern tourism industry. It is the use of AI that will allow a specific travel company to create a good, personalized experience that is better than that offered by its competitors. AI-powered personalization is viewed as the use of AI technologies to create personalized experiences for travellers based on their individual needs, preferences, lifestyles, behaviours, etc. The use of marketing technologies of personalization in tourism allows the client to get a meaningful journey based precisely on his or her greatest preferences and needs. The benefits of AI-based personalization in the tourism industry are highlighted. AI-based personalization has been found to transform the tourism industry in many aspects of operating activities. It has been proven that the introduction of AI technologies in tourism will cause a massive departure from traditional operating models. It has been established that in modern conditions it is important to offer AI to clients in the form of interactive and self-service technologies to ensure the best interaction with them. It has been shown that one of the most sought-after applications of AI in the tourism industry is online customer assistance. It has been found that for better competitiveness, it is important for travel companies to pay attention to customer service, which allows deepening relations with customers; to use native advertising to deliver unique travel experiences and programmatic advertising that is tailored to the tourist's browsing behaviour. It is noted that marketing technologies of personalization in tourism based on AI provide the following: segmentation of customers according to indicators of probable conversion; retargeting to more promising tourists; directing advertising to customers with Google AdWords. It is emphasized that personalized recommendations based on customer behavioural data are one of the most effective ways to grow a travel business. One of the leading trends in AI-based personalization in the travel industry is the integration of this technology into travel applications and platforms. Another trend in AI-based personalization in the travel industry is the integration of voice assistants (Amazon Alexa, Google Assistant) when travelling. Artificial intelligence-based personalization is predicted to be further integrated into the travel experience, providing travellers with new and innovative ways to plan, book, and experience travel.

The Impact of Digital Transformation on the Debt Financing Costs of Firms

The digital economy, with digital technology as its core driving force, is subverting the traditional economic and social operating model. In the context of the deep integration of the digital economy and the real economy, digital transformation is the consensus of almost all firms. As the first driving force of the firm’s operations, financing activities will inevitably be affected by the digital transformation of firms. Based on the perspective of financing, this study empirically tests the impact of digital transformation of firms on the cost of debt financing. When measuring variables, this study uses the technology of data mining and text analysis to measure the extent of digital transformation of firms. The research results show that the digital transformation of firms is significantly negatively related to the cost of debt financing. In addition, for firms with different equity nature, there are significant differences in the impact of digital transformation on the cost of debt financing.

The Export Operation Mode and Optimization Strategy of Crossborder e-Commerce Enterprises Integrating Data Mining Algorithms

With the advent of the crossborder e-commerce (CE) boom, more and more traditional enterprises have transformed into the field of crossborder e-commerce. It has become a new outlet for enterprises in the international trade environment, and at the same time, it has some problems in the utilization of resources and the maximization of benefits. In response to this problem, it is very important to optimize the export operation model of crossborder e-commerce enterprises (CEE). With the development of intelligent algorithms, research on the application of intelligent algorithms to the economic field has gradually been carried out. Its characteristics and advantages are of great significance to the optimization of CEE export operation mode. The purpose of this paper is to study the CEE export operation mode and optimization strategy based on data mining algorithm (DMA). Through the analysis and research of DMA, it can be applied to the optimization of CEE export operation mode to cope with the world trade in the new environment. This paper explains the basic theory of DMA and CEE export operation mode. Its effect is experimentally analyzed, and the relevant theoretical formulas are used to explain. The results show that the comprehensive trade quality index of the CEE export operation mode integrating DMA is higher, and the adaptability is stronger. Compared with the traditional operating model, the difference between the two indices is 3.175 index points. It has guiding significance in terms of CEE export operation mode and optimization strategy.

A novel conceptual design of LNG-sourced natural gas peak-shaving with gas hydrates as the medium

As the demand for natural gas grows fast, efficient peak-shaving technology is of great necessity, especially in areas where natural gas resources are scarce. This paper aims to present a novel natural gas peak-shaving process with gas hydrates as the medium to address the imbalance between supply and demand in natural gas, especially for the LNG-sourced natural gas, where the cold energy from LNG gasification can be efficiently utilized. Firstly, the commercial process simulation software Aspen HYSYS V10 is adopted to design the whole process, including the production, storage, and dissociation of NGH; afterwards, energy consumption analysis and economic accounting are conducted; finally, a case study is carried out to show the efficiency of the LNG-sourced natural gas peak-shaving. The results of the case study show that the economic efficiency can be improved maximumly by 18.51% compared to the traditional operation model of LNG receiving terminal. This indicates the feasibility of providing a flexible natural gas peak-shaving process with gas hydrates as the medium, in order to meet the demand for long-term and short-term peak-shaving of natural gas.

Disruptive Innovations and Paradigm Shifts in Journalism as a Business: From Advertisers First to Readers First and Traditional Operational Models to the AI Factory

Since the early years of the 21st century, the newspaper industries of Western liberal democracies have been in a perpetual crisis caused by disruptive digital innovators outside the industry. Until recently, the industry and researchers have conveyed a predominantly pessimistic view of the future. This paper argues that after numerous unsuccessful innovations, the industry is now in the middle of a global paradigm shift with a huge impact on journalism as a business and showing a promising path forward. The new “Readers First Paradigm” is replacing “Advertisers First” The former constitutes a new way of doing business, consisting of two main changes: a revised value proposition focusing on reader preferences and subscriptions; a fully digitized operational model built around AI and machine learning. The article shows that until recently, the paradigm shift has been largely overlooked by researchers in the field. Further, a theoretical framework of industrial paradigm shifts is developed to describe and explain the new paradigm’s emergence and growth. Additionally, a generic “ideal-type” systemic description of the paradigm is provided, identifying the individual components and how they work together.

A Multiobjective Fractional Programming for a CHP System Operation Optimization Based on Energy Intensity

The objective of this research is to establish a multiobjective fractional programming (MOFP) model for supporting the operational management of a combined heat and power (CHP) system. Compared with the traditional operational optimization model of the CHP system, the importance of the energy intensity (i.e., the ratio of energy consumption and energy production) was emphasized in the MOFP model, which is considered as the system objective for replacing the common objective of minimizing the economic cost. This innovative transformation effectively reduces excessive energy consumption, accompanied by improvement in the system revenue. The CHP system of an industrial park in the City of Jinan, China, was used as a study case for demonstration. The obtained results reflected that the combination of two gas turbines (GTs) ensured safe, efficient, and stable output for meeting daily power requirements in various seasons. As for the steam load, during the summer, two heat recovery steam generators (HRSGs) play a major role, where the insufficient part is supplemented by two gas-fired boilers (SBs); conversely, the steam load in winter is mainly satisfied by the aid of two SBs. The successful application of the MOFP model in the park could provide a good demonstration for CHP management in many other districts and cities.

Uncovering the digitalization impact on consumer decision-making for checking accounts in banking

Checking account providers must understand the importance of digital and non-digital service attributes across different customer segments to achieve a product-market fit in digitalization. In particular, various latent personal characteristics influence customer choices in digital banking. However, there is only limited research on banking customer behavior beyond the technology acceptance model, and none that explores customer preferences for checking accounts experimentally. Against this background, we present the results of a discrete choice experiment on customer preferences towards checking accounts in Germany. The outcome of the paper is a detailed quantitative assessment of the relationships between checking account service attributes and a set of latent influencing factors on choice. While customer service experience, the scope of services, and professional expertise are identified as re-occurring critical aspects for customers when choosing their banking service provider, the type of provider and digital product innovation showed little impact on customer choice overall. In multigroup analyses, we reveal the moderating impact of influencing factors on the preference of checking account service attributes. Additional segmentation analyses point to six customer segments from which four still prefer a traditional operating model. The largest segment of traditional product-innovative customers prefers digitalized, i.e., data-driven checking accounts in a mixed-mode with human customer advisory and on-site branch services from a traditional bank. At the other end of the spectrum, a small innovative Fintech customer segment, influenced by non-pragmatism and social norms, prefers a purely digital operating model with data-driven applications in banking.

MWEB: Growth strategy options for an internet service provider

Subject area of the teaching case: The case is particularly relevant for students studying elements of business strategy with an interest in strategic decision-making, competitive strategy, and growth strategy. The case leverages several strategic frameworks taught throughout business courses and illustrates a real-world application of these frameworks to support sound strategic decision-making. Furthermore, the case examines the relevance of sustainable competitive advantage and the linkages to the appropriate growth strategy for a business. It is recommended that this case be taught once students have covered the applicable theory and frameworks in class. Student level: This case is designed for business administration students, in particular MBA, EMBA, speciality Masters, or executive education students. Brief overview of the teaching case: MWEB is a leading first-tier South African internet services provider, with an operating history spanning over 22 years. The MWEB brand is a household name across South Africa, seen as one of the pioneers of the internet industry and accredited with bringing the internet to ordinary consumers across the country. The state of competition in the market, however, has intensified and MWEB's traditional operating model has not evolved fast enough to meet the changing landscape. The market is in the midst of a price war, to which MWEB has responded by reducing market pricing and offering attractive deals, undercutting all its competitors. The results have been positive; sales have increased and churn has reduced, but competitors have already started to follow. The dilemma facing CEO Sean Nourse and his management team is how to accelerate growth in a highly commoditised market with intense competition while ensuring the long-term profitability of the business. The case encourages the consideration of the strategic decision-making process by analysing the competitive landscape, evaluating the options, and reaching a decision on the most viable growth strategy for the business. Expected learning outcomes: To analyse the competitive landscape and the forces at play To conduct a competitor analysis, appraise long-term profitability in the industry, identify profitable strategic positions, and determine how MWEB may achieve and protect its competitive advantage To identify and analyse the key parameters that, in combination, represent a company's business model To critically analyse the contextual factors that are presented as business challenges, evaluating and understanding the impact and scale of these challenges To critically assess relevant growth strategy alternatives for MWEB and analyse the viability of the alternatives presented To conduct an informal valuation to determine a purchase price for an acquisition target for the business

Research on the Transformation of Real Estate Enterprises’ Asset-light Operation Mode—Take Vanke as an Example

Chinese the real estate industry has experienced more than 20 years of prosperity. The traditional operating model has brought huge profits to real estate companies under the specific economic environment and reform dividends. However, in the context of the continuous upgrade of macro-control in the real estate industry, real estate companies have narrowed their financing channels, and the pressure on funds has generally increased. They are facing an urgent need to expand financing channels, reduce financing costs, and maintain stable cash flow. In this context, it is increasingly important for real estate companies to transform their asset-light operation model. Therefore, this article will analyze the concept of light assets and the characteristics of light asset operation models, and take Vanke as an example to analyze the changes in Vanke’s financial performance before and after the transformation, and put forward relevant suggestions to provide references for real estate companies to transform asset-light operation mode.

Covid-19 and Cloud Technologies: All-Cloud IT Operating Model for Pandemic Management, Part 1

In this article, we analyze the value and potential of cloud technologies in pandemic management, with a specific focus on Covid-19. Covid-19 has exposed significant weaknesses in healthcare systems across the globe [1]. The systems in some of the most technologically advanced nations (e.g. Singapore, Taiwan, South Korea) have adapted much faster, with significantly lower death rates. To investigate how healthcare systems globally can advance to similar levels, we discuss the influence of technology on the adaptation of all-cloud operating models in digital healthcare. Our focus on cloud technologies in healthcare is based on the fact that traditional IT operating models are slowly becoming obsolete in the new digital age. New ‘all-cloud operations’ emerge from the digital transformation and require a new mindset. In the all-cloud operations, developers and business executives translate the products, services, constraints, and security controls into cloud architectures and data models. As this transformation from capital intensive IT operations is evolving into flexible, low-asset, all-cloud digital operations, the role of operations management is also evolving. Shifting from the established healthcare systems into new cloud operating systems inevitably will cause some discomforts, but for the nations that can embrace these changes, the healthcare opportunities will amplify.

Kooda Collection Ltd: Systematic Garbage Collection in India

Founded by Mr. Rawal, Kooda Collection Ltd. was started in 2010 to collect waste paper from Vadodara. In contrast to the traditional operating model, where there were 4–7 intermediaries between the suppliers (households) and paper mills, Kooda Collection Ltd.’s operating model consists of being the sole intermediary between the suppliers and buyers. The firm had captured 20 percent of the market in Vadodara and was now eyeing expansion opportunities in other cities in Gujarat. Two possible options are Surat and Ahmedabad, both of which have a larger supplier base than Vadodara. Surat and Ahmedabad have large industrial bases and that is another potential source of raw material. Some of the questions on which the firm needs to take a decision are: city selected for expansion, operational challenges, supplier base to be targeted and mode of financing for expansion. The firm also has to decide whether to open a branch in the new city or run it from Vadodara.

Digital strategies of companies: growth potential and reasons for failure

Countries, industries and business leaders face an increasingly complex world characterized by the proliferation of new digital technologies, affecting productivity and causing organizational disruptions.Today the reward for success and the penalty for failure have become even greater than some time ago. Most digital strategies do not reflect how the digital environment is changing the fundamentals of the economy, the dynamics of industries, and the meaning of competition. Digital strategy must be seriously different from what we usually see now – otherwise failure is inevitable. Why is this possible at a time when almost every company in the world is thinking about its digital future? Why are so many digital strategies unsuccessful? The answer should be related to how much large and influential economic force the digital environment has become, and how it is becoming incompatible with traditional economic, strategic and operational models. The problems, especially standing out from their General number have been revealed in the article, recommendations to the heads of large organizations on the implementation of corporate digital strategies have been given. The ideas in this work are based on research, that has considered the importance of a more inclusive infrastructure to expand access to digital technologies and the emergence of new families of technologies in this scientific field. These ideas have been illustrated with evidence from the recent annual series of global market studies, which examine corporate practices in the light of digitalization.

The Application of Artificial Intelligence Technology in the Tourism Industry of Jinan

With the rapid development of Internet, the technology of Internet of Things and Artificial Intelligence has been rising in recent years, which makes the traditional operating models and industry structure face new challenges in various fields. The technology of artificial intelligence has changed our life in many aspects, such as tourism, medical treatment, education, manufacturing, life style, and so on. Based on the analysis of the application of artificial intelligence in people’s life, this article focuses how AI technology to lead the upcoming changes in the tourism industry of Jinan. The contribution of this article is to enhance the development of Jinan’s tourism industry.

Extending Business Process Models with Appreciation

We use homeostasis, the maintenance of steady states in an organism, to explain some of the decisions made by participants in a business process. We use Vickers’ Appreciative System to model the homeostatic states with Harel’s statecharts. We take the example of a doctoral student recruitment process formally defined between a faculty member, a graduate student candidate and a doctoral school. We analyze some gaps in the process caused by a misfit between norms of the process participants. We present a rationale for the anticipation and resolution of these misfits. We extend the traditional operational model with an appreciative model. This model represents the appreciative systems of process participants. Understanding these appreciative systems is necessary to make explicit the misfit between the model and the observed reality. The operational model represents the “technical” perspective on the business process, the one that can be automated. The appreciative model represents the “social” perspective, the one that explains the participants’ behavior as a result of their individual and collective norms. By combining these two perspectives, we can appreciate the richness of the development of socio-technical systems.