Chapter 7. Ideal entrepreneurial ecosystem and ecosystems of Bangalore and Hyderabad: A gap analysis

2021 ◽  
pp. 100-114
Keyword(s):  
Gap Analysis ◽  
Entrepreneurial Ecosystem

Entrepreneurial ecosystem for tech start-ups in Bangalore: an exploration of structure and gap

2020 ◽  
Vol 27 (7) ◽  
pp. 1167-1185
Author(s):  
Bala Subrahmanya Mungila Hillemane
Keyword(s):  
Gap Analysis ◽  
Primary Data ◽  
Ecosystem Structure ◽  
Entrepreneurial Ecosystem ◽  
Component Level ◽  
Policy Makers ◽  
Content Type ◽  
Start Up ◽  
Start Ups

PurposeBangalore has gained international recognition as a technology start-up hub for its vibrant entrepreneurial ecosystem. Against this backdrop, this paper attempts to explore the structure and gap that exist with respect to the entrepreneurial ecosystem for tech start-ups in Bangalore.Design/methodology/approachA Delphi technique based four stage interaction with the experts/stakeholders belonging to different components of the entrepreneurial ecosystem (as identified from the literature) in the context of Bangalore is conducted, to gather primary data. This enabled us to define the structure of entrepreneurial ecosystem and analyse the gap that exists between an ideal ecosystem feasible in the Indian context and that one that prevailed in Bangalore.FindingsThe prevailing entrepreneurial ecosystem for tech start-ups in Bangalore is significantly different (lower) relative to an ideal ecosystem feasible in the Indian economic environment, as prescribed by the Delphi experts, both at the aggregate level and at an individual component level. The step-wise (backward) logistic regression analysis revealed that Bangalore ecosystem is primarily lacking in terms of one of the Triple Helices, namely, role of education and research institutions, and two of the five indispensable components, namely, market maturity and mentorship.Research limitations/implicationsIt is essential to strengthen and promote the Triple Helix base and the five indispensable components in an entrepreneurial ecosystem, to accelerate the emergence and growth of tech start-ups.Practical implicationsIt brings out the nature of entrepreneurial ecosystem structure and the gap between what can be considered an ideal ecosystem and what prevails in Bangalore currently.Originality/valueThis is a primary data based study, which has value for regional policy makers in strategizing to promote Bangalore ecosystem, and for researchers in undertaking “ecosystem gap analysis”.

COMPARING HUMAN CAPITAL EFFECTIVENESS BETWEEN OFFICE WORKERS AND FACTORY WORKERS: A COMPETENCY GAP ANALYSIS

2013 ◽  
Author(s):  
Sophie de Sausmarez ◽  
Visarut Rakmanusa ◽  
Bhaqthada Jarupornpanich ◽  
Nanat Phuvathanarak ◽  
Panuwat Tosaksit ◽  
...  
Keyword(s):  
Human Capital ◽  
Gap Analysis ◽  
Office Workers ◽  
Factory Workers

A GAP ANALYSIS IN SERVICE QUALITY OF THAI LOGISTICS SERVICE PROVIDERS

2013 ◽  
Author(s):  
Chatwadee Tansakul ◽  
◽  
Jirachai Buddhakulsomsiri ◽  
Thananya Wasusri ◽  
Papusson Chaiwat ◽  
...  
Keyword(s):  
Service Quality ◽  
Gap Analysis ◽  
Service Providers ◽  
Logistics Service ◽  
Logistics Service Providers

TINGKAT KEPUASAN PESERTA LELANG TERHADAP PELAYANAN TEMPAT PELELANGAN IKAN (TPI) MORODEMAK

2019 ◽  
Vol 13 (2) ◽  
pp. 122-130
Author(s):  
Dian ayunita Nugraheni nurmala Dewi
Keyword(s):  
Performance Analysis ◽  
Service Quality ◽  
Gap Analysis ◽  
Quality Measurement ◽  
Service Satisfaction ◽  
Importance Value ◽  
Auction House ◽  
Participant Satisfaction ◽  
And Performance ◽  
Descriptive Method

Objectives of this study were analyze fish auction participant satisfaction to auction services in TPI Morodemak, analyze attributes effect, services that fit to service quality measurement, and analyzed fish auction participants perception to performance and importance for fish auction house Morodemak services. Used descriptive method and purposive sampling with 49 respondents consists of commercial fishmongers, traditional fishmongers, purse seine owners, and boat lift net owners as fish auction participant. Satisfication measurement used Customer Satisfication Index (CSI), Importance and Performance Analysis (IPA) and gap analysis. Results from this study were value CSI 20% (0.2) indicate the auction participants dissatisfied with the services provided, IPA show there are four attributes should be develop, two elements have not been completed based on measurement requirements of service satisfaction, gap value average -0.05 means the auction participants were not satisfied with the performance of TPI services because the performance value was lower than the importance value.

Liquidity Gap Report for Stress Testing Structural Liquidity Risk

GIS Business ◽  
2017 ◽  
Vol 12 (6) ◽  
pp. 43-53
Author(s):  
Eugenia Schmitt
Keyword(s):  
Risk Assessment ◽  
Risk Evaluation ◽  
Stress Testing ◽  
Gap Analysis ◽  
Liquidity Risk ◽  
Methodological Basis ◽  
Qualitative Risk Assessment ◽  
The Future ◽  
Liquidity Gap

The need to focus on banks funding structure and stress testing in an explicit way arose as a consequence of the crisis of past decades. Liquidity risks usually occur as a consequence of other kinds of risks, hence analysing scenarios in a prospective manner is essential for the assessment if the bank can fulfill its obligations as they come due and if its funding costs are appropriate. The structural liquidity risk and the degree of the liquidity mismatch can be measured based on the liquidity gap analysis, where expected cash-in- and outflows, divided in different time-buckets are depicted. The liquidity gap report (LGR) shows if a liquidity shortcoming appears in the future and how high is the amount a bank would have to pay, if any hedging were not possible. This paper shows how to build a comprehensive LGR which is the base for both, liquidity and wealth risk evaluation. To improve the accuracy of the forecast, the counterbalancing capacity will be incorporated into the LGR. This tool is a methodological basis for quantitative and qualitative risk assessment and stress testing.

KINERJA PROSES PELELANGAN IKAN DI PASAR ARUMBAI KOTA AMBON

2017 ◽  
Vol 1 (2) ◽  
pp. 58-66
Author(s):  
Frendly Matulessy ◽  
Dionisius Bawole
Keyword(s):  
Performance Analysis ◽  
Gap Analysis ◽  
Primary Data ◽  
Satisfaction Level ◽  
Questionnaire Data ◽  
Analysis Method ◽  
Value For Money ◽  
Qualitative Descriptive ◽  
Market Needs ◽  
Descriptive Method

This study aims to measure the performance of fish auction process in Arumbai Market in Ambon. Primary data were collected from 43 respondents through observation and direct interview based on questionnaire. Data was analysed by qualitative descriptive method, importance performance analysis method (IPA) and gap analysis, and value for money method. The results show that: 1). There are three auction process activities namely pre auction, auction, and post auction; 2). Fisherman's satisfaction level is 67% and merchant satisfaction is 81%; and 3). The auction performance of the economic aspect is less economical, with the final value of 83%, while the fish auction performance from the efficiency aspect is less efficient with the value of 76%. For that, it needs additional officers to manage fish auction place (TPI) in Arumbai Market. In addition, the fish auction facilities (TPI) in Arumbai Market needs to be improved.

Analysis of the Importance Degree and Performance of Internet Service Providers in Makassar City

2019 ◽  
Vol 10 (2) ◽  
pp. 168-177
Author(s):  
Haerdiansyah Syahnur ◽  
Jafar Basalamah
Keyword(s):  
Customer Satisfaction ◽  
Gap Analysis ◽  
Service Providers ◽  
Customer Management ◽  
Quadrant Analysis ◽  
Internet Service Providers ◽  
Internet Service ◽  
Actual Performance ◽  
Satisfaction Index ◽  
Customer Satisfaction Index

This study aimed to analyze the customer experience seen from the level of actual performance and the level of importance of services provided by internet service providers PT. XYZ in Makassar City. Variables and attributes issued by TM Forum GB 912 consisting of Customer Management, Fulfillment, Assurance, and Billing, are used to analyze the performance provided by customer service in the field. The analysis technique will be carried out using the Importance Performance Analysis and Customer Satisfaction Index consisting of quadrant analysis and gap analysis used to investigate customer satisfaction and identify variables whose performance is deemed to need improvement. Data were collected using a platform-based questionnaire application from 100 respondents selected using random sampling techniques. The results showed that customers were satisfied with the performance and quality of services provided. The customer satisfaction index value obtained by CSI analysis shows a value of 82.006%. In conclusion, that the Fulfillment variable is a service variable that is considered the most important customer and requires improvement because its performance is still relatively low. While the variables considered good and need to be maintained are the Billing variable. Other service variables are sorted based on priority of improvement in a row, namely Fulfillment, Customer Management, and Assurance.

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