Search results

This study empirically aims to analyze the transmission of monetary policy in consideration of asymmetry based on the Bank of the Lao PDR (BOL)'s monetary policy tools and real and financial variables in the domestic market.

This study adopts two approaches, conventional vector autoregression (VAR) and asymmetric VAR, to investigate the impact of monetary policy on macroeconomic variables including inflation and real GDP growth in the Lao PDR.

Under a highly dollarized monetary regime, the policy rate change plays a weaker role compared with M0, which exerts significantly positive effects on real GDP growth and inflation. The results of the asymmetric VAR model further substantiate that the real economy responds to a positive M0 shock (easing monetary policy) rather than a negative shock (tightening monetary policy).

Overall estimation results suggest that the effectiveness of monetary policy is limited in Laos, which would take priority over efforts to strengthen the development of the short-term financial market and de-dollarization.

This study can fill the gap in the literature in which the discussions on the transmission mechanism of monetary policy in the BOL's monetary policy are still little known.

Technological development creates technological imperative for organisations. The most recent is dedicated to digital technologies with a strong influence on the way of managing and organising. To gain a better understanding of the latest business practice, the authors use a multilevel perspective and apply the historical analysis method. Specifically, this chapter explores organisational design (OD) of the future through the evolutionary perspective (spanning across the four industrial revolutions) and brings into focus how technological imperatives modified organisational structure, coordination mechanisms and people/job practices. By reflecting on the historical changes in OD practices that happened throughout different phases of industrialisation, the authors analyse how building blocks of digital OD shape managerial and employee behaviours, thus unleashing the performance potential of digital technologies.

The concept of “Smart Cities” is gaining prominence across the world as a solution to effectively address the issues or impediments faced by cities due to rapid urbanization. The purpose of this paper is to identify the key factors which form the primary basis for the implementation of “Smart Cities”. Particularly, this paper aims to analyse the contextual relationship and driving/dependence power of these key factors and model these using the total interpretive structural modelling (“TISM”) framework.

The key factors which form the basis for the implementation of Smart Cities were identified through an evaluation of the literature on “Smart Cities” and expert opinions. Thereon, the contextual relationship between these key factors was examined with the help of experts. Thereafter, these key factors were modelled using the total interpretive structured modelling (“TISM”) framework. Cross-impact matrix multiplication applied to classification (MICMAC) analysis was further applied to classify the factors. It is pertinent to note that the driving power and dependence of these key factors were also reviewed.

This paper establishes a TISM of the key factors for the implementation of “Smart Cities” which will aid in examining the interrelationship among the factors and will also identify the hierarchy among these factors. On extensive examination of the literature and expert opinions on “Smart Cities”, it can be asserted through TISM that quality of life (F1), e-services adoption (F5) and economic growth (F8) are the leading factors in establishing “Smart Cities”. Furthermore, it must be noted that the MICMAC analysis and driving-dependence graph helps in classifying the key factors as autonomous factors, drivers, linkages and outcomes, which assists in comprehending which factors possess driver power and which are exhibiting dependency.

The contribution lies in the authentic manner in which this paper attempts to use the TISM approach combined with MICMAC analysis to model key factors for the implementation of “Smart Cities”; which would aid and assist policymakers and practitioners to construct a structural framework for the implementation of “Smart Cities” through identification of drivers, linkages and outcomes.

In the era of digitalization and technology, tremendous changes have taken place in the taxi industry worldwide. The traditional taxi service has transformed into the latest innovative technology-based e-hailing service. There are innumerable factors that drive the user adoption of e-hailing apps. This study aims to primarily concentrate on identifying, analyzing and ranking these factors which have an impact on the user intention toward using e-hailing apps.

The e-hailing app users in the state of Punjab and Chandigarh are the target population for the study. A fuzzy analytical hierarchy process technique has been applied to analyze and codify the determinants that influence the user intention of adopting e-hailing apps. The primary factors that have been considered for the study are social influence, perceived usefulness, facilitating conditions, perceived ease of use, self-efficacy, perceived risk, compatibility and trust.

The study revealed that “Perceived Usefulness” is the factor that influences user intention to use e-hailing apps the most, while “Perceived Risk” the least. The sub-criteria codified in the top priority was as follows: “Overall, I find the e-hailing app useful in booking a taxi (C15)”; “I do not need some people to use e-hailing apps (C52); “I believe e-hailing app is compatible with existing technology (C61).” The sub-criterion “E-hailing app service provider keeps its promise (C72)” was demonstrated to have the least impact on the user intention of adopting e-hailing apps.

The study has been confined to only eight factors selected from the extended technological acceptance model framework and some related technology acceptance theories. Some more other factors may have an impact on user adoption of e-hailing apps, which need to be added further. Also, the scope of the study should be enhanced by expanding the geographical area beyond the selected region.

The findings of the study enable the e-hailing service providers and marketers to understand the users’ intention in a better way, to make improvements in e-hailing apps and formulate strategies accordingly.

The previous literature provides the base to the present study for identifying the factors affecting user behavioral intention toward e-hailing apps and information technology. The findings and results of the present research make value addition to the existing knowledge base.

This study aims to examine the differential impact of ride-hailing services (RHS) on private and commercial vehicle ownership from five metropolitan cities in India.

Using vehicle ownership data from five metropolitan cities over period 1991 to 2020, a panel corrected standard errors model was estimated to model the association between RHS and vehicle ownership.

The results indicate that advent of RHS has led to a significant reduction in private vehicle ownership rates and a corresponding increase in addition of intermediate public transport. The net effects of RHS on road congestion and pollution levels need to be studied in detail.

The findings of this study can potentially assist policymakers and mobility planners in efforts to decarbonise and decongest urban transport.

This study sets precedence in analysing the impact of RHS on private and commercial vehicle independently. Further, to the best of the author’s knowledge, this is the first study to examine this association for the city of Delhi and Kolkata.

The general concept of public space in Saudi Arabia is relatively recent; it is the result of an attempt to modernize several conservative traditions and norms, as well as the ambitious vision of 2030, which reprioritized Saudi cities' public spaces by implementing a quality-of-life improvement program. This study aims to investigate the relationship between mosque location and surrounding urban context as a significant urban design issue in order to comprehend the potential for transforming such an element into a multifunctional public space destination in a dense urban fabric.

The study's objectives are divided into two areas: a spatial configuration analysis to examine the urban context and an urban analysis of the mosque site with a study area boundary of a 400-m buffer zone. Quantitative and qualitative methodologies were utilized; in addition, a user feedback survey was conducted in which several key insights were compiled, such as the importance of safety urban element factors, aesthetic elements and green areas in the built environment in making mosques places that are active public spaces.

The study’s main finding encourages governmental institutions to change their mindset from “open space around the mosque” to “the mosque as an element within public space,” which will have a significant impact on how the authors approach, improve and redevelop existing mosque locations. Several concepts were presented that should be reconsidered and redeveloped in order to align with the most recent sustainable urban design tools; the mosque to be overlooked as a community gathering place rather than just a place for religious rituals.

This study is limited to sacred mosque sites primarily found in Islamic countries; it focuses on Saudi Arabian urban and planning practices in relation to sociocultural norms. The authors believe that increasing the number of study samples or broadening the scope of the study to include other Saudi regions or other Middle Eastern countries could yield new findings and insights.

The study offers a conceptual design model based on survey results and qualitative analysis and recommending strategies that planners, designers and policymakers can use to design successful mosque places and pedestrian-oriented developments.

The purpose of this paper is to investigate the enabling factors and the customers’ acceptance of ride-hailing in Indonesia.

The authors adopt some constructs from the unified theory of acceptance and use of technology (UTAUT) 2 as the framework for the study to derive factors that influence the acceptance of ride-hailing in Indonesia. Samples through a convenience sampling method were collected from an online survey and were transformed into data through coding and subsequently processed using SPSS for descriptive analysis, reliability test, correlation and multiple regression analysis for hypothesis testing.

Ride-hailing started in 2015 in Indonesia. Five enabling factors make digital ride-hailing possible, the internet, smartphone, broadband wireless network, digital map and global positioning system. The authors found that performance expectancy, social influence and habit positively influence customers to accept ride-hailing in Indonesia.

Although this research has a small sample, it is still relevant to understand people’s acceptance to the ride-hailing platform. As a ride-hailing platform is now transformed to a multisided markets platform, adoption studies or other studies on each market to cover the whole picture of the platform influence to the society, and its contribution to the national economy will be very interesting. The authors’ future research will cover various services covered by ride-hailing companies.

This study proposes and argues that four main enabling factors make digital ride-hailing a viable business. The study contributes to three significant factors that influence the acceptance of ride-hailing in Indonesia.

Algorithms are widely used to manage various activities in the gig economy. Online car-hailing platforms, such as Uber and Lyft, are exemplary embodiments of such algorithmic management, where drivers are managed by algorithms for task allocation, work monitoring and performance evaluation. Despite employing substantially, the platforms face the challenge of maintaining and fostering drivers' work engagement. Thus, this study aims to examine how the algorithmic management of online car-hailing platforms affects drivers' work engagement.

Drawing on the transactional theory of stress, the authors examined the effects of algorithmic monitoring and fairness on online car-hailing drivers' work engagement and revealed the mediation effects of challenge-hindrance appraisals. Based on survey data collected from 364 drivers, the authors' hypotheses were examined using partial least squares structural equation modeling (PLS-SEM). The authors also applied path comparison analyses to further compare the effects of algorithmic monitoring and fairness on the two types of appraisals.

This study finds that online car-hailing drivers' challenge-hindrance appraisals mediate the relationship between algorithmic management characteristics and work engagement. Algorithmic monitoring positively affects both challenge and hindrance appraisals in online car-hailing drivers. However, algorithmic fairness promotes challenge appraisal and reduces hindrance appraisal. Consequently, challenge and hindrance appraisals lead to higher and lower work engagement, respectively. Further, the additional path comparison analysis showed that the hindering effect of algorithmic monitoring exceeds its challenging effect, and the challenge-promoting effect of algorithmic fairness is greater than the algorithm's hindrance-reducing effect.

This paper reveals the underlying mechanisms concerning how algorithmic monitoring and fairness affect online car-hailing drivers' work engagement and fills the gap in the research on algorithmic management in the context of online car-hailing platforms. The authors' findings also provide practical guidance for online car-hailing platforms on how to improve the platforms' algorithmic management systems.

The article examines the impact of policy change on enterprise unit subsidies that took place in 2009 on the quantity demanded for crop insurance.

The analysis covers corn, soybeans, and wheat that are grown in six economic regions and uses various measures of purchasing such as acres insured, unit structure, coverage levels, as well as crop hail use as proxies for the quantity demanded.

The analysis first employs time series econometric tools to analyze whether the time path of the share of enterprise units within buyup acres is influenced by the policy change in enterprise unit subsidies. It then comparatively examines the insurance experience between 2008 (right before the change) and 2015 (well after the change).

For corn, soybean, and wheat, the analysis establishes that the time path of the share of enterprise units within buyup coverage acres is statistically and economically influenced by the intervention. The analysis further quantifies the intervention's immediate and long-term impacts and finds that farmers' unit choices are highly responsive (elastic) to subsidy rates in those units.

Between 2008 and 2015, the insurance experience generally indicates that the share of enterprise units within buyup coverage surged, the share of acres under catastrophic coverage declined, and the share acres in high coverage levels increased. Meanwhile, growers have increasingly utilized crop-hail policies.

This appears to be the first study (1) quantifying the sensitivity of farmers' unit choices with respect to subsidy rates in those units and finding that such choices are actually highly responsive (elastic), and (2) pointing out the interaction between MPCI and crop-hail products and offering insights as to their combined use. The findings should be of considerable value to policymakers, academics, bankers, and producers in regards to the design and use of risk management tools.

What happens to nonelite workers’ meaning, belonging, and identity when work is “on-demand”? On-demand organizations, such as Uber and TaskRabbit, have ambiguous boundaries and locations of workers. This qualitative study investigated how organizational and societal boundary discourse and the organization of the work itself, constructed sometimes conflicting worker roles that influenced how ride-hailing workers understood the boundaries of the on-demand organization and their location with respect to it. The roles of app–user and driver–partner constructed ride-hailing workers as outside the boundaries of the organization, while the driver–bot role constructed them as (nonhuman) elements of organizational technology. While the driver–partner role had positive and empowering identity, meaning, and belongingness associations, its conflict with the other roles blocked these positive associations, and led to cynicism and fatalism. We reflect on the possible impacts of the on-demand economy on society, workers, and the practice of work, particularly for nonelite workers.