UrbanClap: India’s Largest Home Service Provider

2021 ◽  
pp. 097282012110189
Author(s):  
Nancy Jyani ◽  
Harbhajan Bansal
Keyword(s):  
Service Provider ◽  
Mobile Application ◽  
Business Models ◽  
Service Industry ◽  
Service Providers ◽  
Food Delivery ◽  
On Demand ◽  
Home Service ◽  
The Right ◽  
Individual Service

Along with time and cost, convenience is a pertinent factor that influences consumers to purchase services. Many business models evolved in emerging markets are providing on-demand services such as taxis and online food delivery. Since most of them provide services in a particular region, they are commonly known as ‘hyperlocal service provider’. UrbanClap was also based on such a model and worked as an aggregator. It pooled together local service providers such as plumbers, electricians and beauty experts, and then offered at-home services through its mobile application and website. Few of the challenges faced by UrbanClap were operational expansion across India, the satisfaction of its service providers and customers, and filling up the profit–revenue gap. Therefore, despite huge acceptance and revenue growing fourfold in 2018 compared to 2017, the company was falling short of profits. The case highlights the problems inherent to hyperlocal and aggregator models such as satisfaction of service providers and customers at the same time; and competition with individual service providers without disturbing the local culture prevailing in the service industry. The case also emphasizes how technology can predict home services by matching customers with the right sellers according to their customized needs.

Cloud Computing Service Provider Business Model Success Characteristics

2022 ◽  
pp. 124-148
Author(s):  
Ignitia Motjolopane ◽  
Tshinakaho Relebogile Seaba
Keyword(s):  
Higher Education ◽  
Cloud Computing ◽  
Service Provider ◽  
Business Models ◽  
Service Providers ◽  
Higher Education Institutions ◽  
Digital Transformation ◽  
Cloud Computing Service ◽  
Information Technology Services ◽  
Successful Business

In a digital arena, information technology services provision is shifting to a cloud computing ecosystem. Cloud computing is an enabler for digital transformation with cloud computing service providers central to the digital transformation of both companies and higher education. As cloud computing service providers play the role of an ‘architect' for companies as supply chain is digitised and in supporting higher education institutions striving to deliver user-focused services in the face of increasing competition, an understanding of successful characteristics of cloud computing service provider business models is of main interest for providers and may also be of value for companies and higher education institutions when selecting cloud computing service providers. Despite the importance of cloud computing service providers' business models, information systems literature has provided limited analysis on the characteristics of successful business models. As such, the chapter aims to contribute to the emerging research on characteristics of successful business models.

Logistics Services in the 21st Century

2010 ◽  
pp. 359-378 ◽  
Author(s):  
Marcus Thiell ◽  
Sergio Hernandez
Keyword(s):  
Supply Chain ◽  
21St Century ◽  
Business Models ◽  
Service Industry ◽  
Service Providers ◽  
Service Program ◽  
Logistics Service ◽  
Logistics Service Providers ◽  
Logistics Services ◽  
The Cross

Due the cross-functional character of logistics tasks and the cross-organizational structure of most logistics chains, the logistics service industry is strongly affected by business dynamics. Since the 1950s, this industry has experienced a variety of changes; While logistics was traditionally concerned with the fulfilment of functions like transportation and warehousing, modern logistics service offerings also encompass services like network design and carbon footprint assessment. But not just the scope of logistics services has changed. Additionally logistics business models developed from 1PL to 4PL, indicating a shift from the provision of execution tasks to tactical tasks and from fragmented logistics solutions to integrative logistics solutions for complete logistics chains. As a consequence, logistics service providers at the beginning of the 21st century have many options to configure their service offerings. But which options exist to comply with the requirements in a modern competition being fought supply chain versus supply chain rather than firm versus firm? After analyzing the dynamics in the logistics service industry and the importance of logistics for an effective and efficient supply chain management, this chapter will focus on options how logistics service providers can construct single logistics services (service architecture), their logistics service program (service program architecture) and their appearance on the market (service provider architecture) in order to fulfil their role within today’s supply chains and to improve supply chain performance.

scholarly journals Technology Licensing Strategy for Network Product in a Service Industry

2015 ◽  
Vol 2015 ◽  
pp. 1-17 ◽  
Author(s):  
Xianpei Hong ◽  
Dan Zhao ◽  
Haiqing Hu ◽  
Shuang Song
Keyword(s):  
Product Differentiation ◽  
Service Provider ◽  
Optimal Strategy ◽  
Network Effects ◽  
Technology Innovation ◽  
Service Industry ◽  
Service Providers ◽  
Technology Licensing ◽  
Significant Attention ◽  
Fixed Fee

Technology licensing has gained significant attention in literature and practice as a rapid and effective way to improve firm’s capability of technology innovation. In this paper, we investigate a duopolistic service provider competition market, where service providers develop and sell a kind of network product. In this setting, we analyze the innovating service provider’s four licensing strategies: no licensing, fixed fee licensing, royalty licensing, and two-part tariff licensing. The literature suggests that when the network products can be completely substituted, two-part tariff licensing is the optimal strategy of the innovating service provider. We find that when the network products cannot be completely substituted, two-part tariff licensing is not always optimal. The degree of the product differentiation, the intensity of the network effects, and the R&D cost of the potential licensee play a key role in determining the innovating service provider’s optimal licensing strategies.

scholarly journals Being a Deliveroo Rider: Practices of Platform Labor in Nijmegen and Berlin

2021 ◽  
pp. 089124162199467
Author(s):  
Peter Timko ◽  
Rianne van Melik
Keyword(s):  
Business Models ◽  
Social Groups ◽  
Food Delivery ◽  
Uneven Distribution ◽  
Independent Contractors ◽  
Urban Economies ◽  
On Demand ◽  
Delivery Platform ◽  
Management Techniques

On-demand delivery platforms have become a common feature of urban economies across the globe. Noted for their hyper-outsourced, “lean” business models and reliance on independent contractors, these companies evade traditional employer obligations while still controlling workers through complex algorithmic management techniques. Using food delivery platform Deliveroo as a case-study, this paper investigates the diverse array of practices that on-demand workers carry out in order to enact this new platform labor arrangement in different spatial contexts. One of us conducted an auto-ethnographic project, working as a Deliveroo Rider in Nijmegen and Berlin for a period of nine months. Additionally, we interviewed 13 fellow platform workers. The findings reveal the motley, contingent, and conditional ways in which on-demand labor comes together on the ground. The paper concludes with discussing the uneven distribution of these practices across locations and social groups, and the sometimes contradictory impacts they have on the structure of platform labor.

scholarly journals WeIghtIng the factors affectıng logıstıcs outsourcıng

2021 ◽  
Vol 4 (1) ◽  
pp. 19-33
Author(s):  
Çağlar Karamaşa ◽  
◽  
Ezgi Demir ◽  
Salih Memiş ◽  
Selçuk Korucuk ◽  
...  
Keyword(s):  
Service Provider ◽  
Service Providers ◽  
Global Market ◽  
Third Party ◽  
Logistics Outsourcing ◽  
Factors Affecting ◽  
Logistics Service ◽  
Logistics Service Provider ◽  
The Right

Today, growing and changing competitive conditions, products, and services, free movement of labor, and businesses with the information they develop strategies that create value to obtain a competitive advantage. Now, final buyers have the convenience of purchasing the products they demand with the features and conditions they want and at the price they accept. In such an environment, businesses use their supply chain and logistics activities more effectively and efficiently than their competitors. Today, achieving a strategic superiority in a global market where the content and quality of the products are the same is only possible by delivering the desired products to the customer at the desired price, at the desired time, in the desired amount, through the right channel, as quickly as possible and without any damage. In such a situation, the desire to focus on the main activities of the enterprises, the need for effective logistics operations, etc. logistics outsourcing has increased rapidly for reasons. Businesses can carry out logistics activities requiring expertise thanks to third party logistics (3PL) service providers in the field such as transportation, storage, customs clearance, without investing in logistics. For logistics outsourcing to be beneficial, a correct logistics service provider must be selected under the needs of the business. Selecting the right logistics service provider is important in increasing the benefit of outsourcing. In this study neutrosophic AHP was used to prioritize the factors.

An Integrated Multi Criteria Decision Making Model for Cloud Service Provider Selection

2022 ◽  
Vol 14 (1) ◽  
pp. 0-0
Keyword(s):  
Decision Making ◽  
Service Provider ◽  
Service Providers ◽  
Cloud Service ◽  
Cloud Service Provider ◽  
Vast Number ◽  
The Right ◽  
Decision Making Model ◽  
Consistency Method

In the present scenario, it is inevitable for organizations to use the services offered through the cloud. As there are numerous cloud service providers, the users have a vast number of choices to get the desired service. For the long term success of any organization, it is important to choose the right cloud service provider. This paper focuses on proposing a new framework to select the best cloud service provider. While selecting the best service provider, using an appropriate method for finding out the weight of each criterion is very important as it directly impacts the ranking of candidate service providers. In this work, the Full Consistency Method (FUCOM) is employed for finding the weight of each criterion and Multi-Objective Optimization by Ratio Analysis (MOORA) is proposed for ranking the service provider. The integration of FUCOM with MOORA results in computing the reliable values of criteria weight and a simpler procedure for computing the overall score of the service provider. Hence a rational decision making is possible in selecting the best cloud service provider.

Service value optimization of cloud hosted systems using particle swarm technique

2016 ◽  
Vol 29 (4) ◽  
pp. 612-626
Author(s):  
Salah Eddin Murad ◽  
Salah Dowaji
Keyword(s):  
Service Provider ◽  
Business Models ◽  
Virtual Machines ◽  
Service Providers ◽  
Mutual Influence ◽  
Optimization Technique ◽  
Particle Swarm ◽  
Severity Factor ◽  
Content Type ◽  
New Model

Purpose – Cloud Computing has become a more promising technology with potential opportunities, through reducing the high cost of running the traditional business applications and by leading to new business models. Nonetheless, this technology is fraught with many challenges. From a Software as a Service (SaaS) provider perspective, deployment choices are one of the major perplexing issues in determining the degree to which the application owners’ objectives are met while considering their customers’ targets. The purpose of this paper is to present a new model that allows the service owner to optimize the resources selection based on defined metrics when responding to many customers’ with various priorities. Design/methodology/approach – More than 65 academic papers have been collected, a short list of the most related 35 papers have been reviewed, in addition to assessing the functionality of major cloud systems. A potential set of techniques has been investigated to determine the most appropriate ones. Moreover, a new model has been built and a study of different simulation platforms has been conducted. Findings – The findings demonstrate that serving many SaaS customer requests, with different agreements and expected outcomes, would have mutual influence that impact the overall provider objectives. Furthermore, this paper investigates how tagging those customers with various priorities, with reflection of their importance to the provider, permits controlling and aligning the selection of computing resources as per the current objectives and defined priorities. Research limitations/implications – This study provides researchers with a useful literature, which can assist them in relevant subject. Additionally, it uses a value-based approach and particle swarm technique to model and solve the optimization of the computing resource selection, considering different business objectives for both stakeholders, providers and customers. This study derives priority of a number of factors, by which service providers can make strong and adaptive decisions. Practical implications – The paper includes implications on how the SaaS service provider can make decisions to select the needed virtual machines type driven by his own preferences. Originality/value – This paper rests on the usage of Particle Swarm Optimization technique to optimize the business value of the service provider, as well as the usage of value-based approach. This will help model that value in order to combine the total profit of the provider and the customer satisfaction, based on the agreed budget and processing time requested by the customer. Another additional approach has been charted by using the customer severity factor that allows the provider to reflect the customer importance while making the placement decision.

scholarly journals Simple Additive Weighting for Decision Support Selection of Expedition Services

SinkrOn ◽  
2020 ◽  
Vol 4 (2) ◽  
pp. 115
Author(s):  
Suhar Janti ◽  
Mohammad Adriansyah ◽  
Ghofar Taufik
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Service Provider ◽  
Service Providers ◽  
Weighting Method ◽  
A Value ◽  
Simple Additive Weighting ◽  
Freight Forwarding ◽  
The Right ◽  
Selection Of

Freight forwarding services are increasingly developing and each delivery service provider competes to provide the best service, resulting in competition in terms of price and delivery time, in order to attract the attention of users of shipping services. The number of service providers with various types of packages offered by freight forwarding services, making users difficult in determining the right service provider. One way to overcome this problem is by the existence of a method that can provide recommendations as consideration for making appropriate decisions. This study aims to create a decision support system for the selection of goods delivery services by applying the Simple Additive Weighting method that can solve problems by comparing between shipping services. The results of this study are in the form of conclusion calculations that can be taken into consideration for decision making in choosing the most widely chosen freight forwarding services for students and getting the best results in decision making. The results of calculations using the Simple Additive Weighting method, the highest value based on time criteria is JNE YES with a value of 0.73, based on price criteria is a vehicle with a value of 0.68, based on the weight criteria is JNE YES with a value of 0.75, while based on the volume criteria the highest value is a vehicle with a value of 0.70 .

scholarly journals The development of service provider’s BPO-IT framework

2017 ◽  
Vol 23 (5) ◽  
pp. 897-917
Author(s):  
Charles Ikerionwu ◽  
David Edgar ◽  
Edwin Gray
Keyword(s):  
Service Provider ◽  
Service Providers ◽  
Selection Process ◽  
Turnaround Time ◽  
Offshore Outsourcing ◽  
Research Approach ◽  
Mixed Method Research ◽  
Business Process Outsourcing ◽  
Content Type ◽  
The Right

Purpose The decision to operate BPO-IT organisational model by a business process outsourcing (BPO) service provider has far reaching benefits. The purpose of this paper is to develop a service provider’s BPO-IT framework that provides in-house IT function (software) required to process client services. Design/methodology/approach The multi-case study adopted an exploratory sequential mixed method research approach. In the first instance, seven BPO service provider organisations were investigated in the qualitative phase and 156 in the quantitative phase, respectively. Findings The adoption of the developed framework indicates that it could reduce failures in BPO relationships through reduced turnaround time in processing client services, improved quality of service, reduced cost, improved client and provider’s competitiveness, and confidentiality of client operations. Outsourcing clients could lay the foundation for a successful relationship by adopting a selection process that could choose the right provider. Originality/value The paper reveals BPO-IT organisation’s operation towards in-house provision of software required to process client services. A research exploring BPO service providers from a top outsourcing destination like India could provide offshore outsourcing clients the information to move towards onshore outsourcing.

Modelling and Analysing QoS for Real-Time Interactive Applications on the Cloud

2011 ◽  
pp. 1-15
Author(s):  
Matthew Addis ◽  
Michael Boniface ◽  
Juri Papay ◽  
Arturo Servin ◽  
Zlatko Zlatev ◽  
...  
Keyword(s):  
Real Time ◽  
Service Provider ◽  
Value Chain ◽  
Service Use ◽  
Business Models ◽  
Service Providers ◽  
Peak Load ◽  
Service Level ◽  
Resource Provisioning ◽  
Trade Offs

The complexity of determining resource provisioning policies for applications in such complex environments introduces significant inefficiencies in the cloud. Novel approaches are needed to efficiently model and analyse Quality of Service for such applications, especially those with real-time constraints. This chapter investigates some of the techniques that can be used to explore these trade-offs and to find business models where value can be provided at all stages in the value-chain. For example, how can an application user identify a set of service providers that provide the best solution to their workflow in combination? How much risk is involved, e.g. what is the probability and impact of a failure of a service provider to deliver the QoS they promise? How can Service Level Agreements be specified that provide the flexibility to accommodate variability in service use, yet don’t result in unnecessarily high cost to the consumer due to the service provider having to use massive over-provisioning of resources to ensure they can meet times of peak-load?

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