Performance Evaluation and Determinant Factors of China’s Logistics Enterprises Based on Careersmart Balanced Score Card

China has become the second-largest market for logistics worldwide. However, its logistics performance index (LPI) is ranked 27th, which is far below the average of East Asia and Central Asia (World Bank, 2016). This paper empirically tests determinant factors of China’s logistics enterprises based on the Careersmart Balanced Score Card. The data are gathered from 42 listed logistics enterprises spanning from 2012 to 2016. Empirical results reveal that corporate performance on the part of China’s logistics enterprises is positively correlated with the factors of human capital investment, long-term liability, research and development expenses, the number of employees with higher education preferably a postgraduate degree, and ownership concentration, while factors negatively correlated with the proportion and cost of core business include management, delay rate, company scale, and other factors. The paper also considers the influence of operational management, customer service, asset structure, and innovation. Policy implications based on empirical results are proposed accordingly.

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Corporate R&D intensity decomposition: different data, different results?

Science and Public Policy ◽

10.1093/scipol/scaa026 ◽

2020 ◽

Author(s):

Pietro Moncada-Paternò-Castello ◽

Sara Amoroso ◽

Michele Cincera

Keyword(s):

Research And Development ◽

Analytical Methods ◽

Innovation Policy ◽

International Comparisons ◽

Policy Implications ◽

Data Sources ◽

Empirical Results ◽

Research And Innovation ◽

Research And Innovation Policy ◽

First Time

Abstract Research and Development (R&D) indicators are used to facilitate international comparisons and as targets for research and innovation policy. An example of such an indicator is R&D intensity. The decomposition of the aggregate corporate R&D intensity is able to explain the differences in R&D intensity between countries by determining whether is the result of firms’ underinvestment in R&D or of the differences across sectors. Despite its importance, the literature of corporate R&D intensity decomposition has been developed only recently. This article reviews for the first time the different methodological frameworks of corporate R&D intensity decomposition and how they are used in practice, shedding light on why sometimes empirical results seem to be contradictory. It inspects how the use of different data sources and analytical methods affect R&D intensity decomposition results, and what the analytical and policy implications are. The article also provides methodological and analytical guidance to analysts and policymakers.

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Measuring the Performance Efficiency of State Bank of India and HDFC Bank using Balanced Score Card

SDMIMD Journal of Management ◽

10.18311/sdmimd/2021/26371 ◽

2021 ◽

Vol 12 (2) ◽

pp. 11

Author(s):

Subramoniam K. ◽

Harishma Hari

Keyword(s):

Organizational Performance ◽

Customer Service ◽

Evaluation System ◽

Business Processes ◽

Deep Understanding ◽

Balanced Score Card ◽

Strategy Formulation ◽

Actual Performance ◽

Financial Measures ◽

Score Card

<p>The research article presents performance analysis of the State Bank of India Ltd and the HDFC Bank Ltd using Balanced Score Card (BSC) developed by Robert Kaplan and David Norton. It attempts an analysis to develop a deep understanding of the concept of BSC as a tool for strategy mapping and measurement of performance of a public sector bank and a private sector bank as mentioned elsewhere. BSC is a performance evaluation system not only based upon financial parameters, but also on non-financial aspects like customer indicators, internal business processes and employee learning and growth. Actual performance data from years 2009 to 2019 and business indicators of the year 2020 of the Banks are used for this purpose. The BSC model was developed to address the problems and limitations of relying only on financial measures for strategy formulation and measuring organizational performance. The study revealed that Gross NPA of SBI has increased while that of HDFC Bank has reduced during the period of study. Obviously the ROA is also better for HDFC Bank compared to that of SBI. It is inferred that HDFC Bank has garnered more net profit than SBI during the period of study. HDFC Bank has shown better performance compared to SBI according to the current study. The implication of the study is that both the banks have to visit all the areas of their business to ensure growth in financial performance, better customer service, efficient internal processes and higher learning and growth in the future years. This could ensure better profit management and risk management.</p>

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Development of Strength-Based Youth Mentoring: Historical And Theoretical Perspectives, Empirical Results, and Policy Implications

PsycEXTRA Dataset ◽

10.1037/e541652013-003 ◽

2011 ◽

Author(s):

R. Bruce Thompson ◽

Maryann Corsello ◽

Samuel McReynolds ◽

Bernice Conklin-Powers ◽

Brittany Morley

Keyword(s):

Policy Implications ◽

Youth Mentoring ◽

Empirical Results ◽

Theoretical Perspectives ◽

Strength Based

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Using the balanced score card to design organizational comprehensive performance evaluation model

AFRICAN JOURNAL OF BUSINESS MANAGEMENT ◽

10.5897/ajbm11.1989 ◽

2012 ◽

Vol 6 (6) ◽

Cited By ~ 1

Author(s):

Parviz Ahmadi

Keyword(s):

Performance Evaluation ◽

Evaluation Model ◽

Balanced Score Card ◽

Score Card ◽

Performance Evaluation Model ◽

Comprehensive Performance ◽

The Balanced Score Card

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Balanced score-card to create a strategy focused organization at DUBAL, UAE

International Journal of Basic and Applied Sciences ◽

10.14419/ijbas.v3i4.3444 ◽

2014 ◽

Vol 3 (4) ◽

pp. 426

Author(s):

Bharathan Viswanathan ◽

Philip Thomas ◽

Ananthraman Pichai ◽

Naseer Khan

Keyword(s):

Balanced Score Card ◽

Score Card

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Smartphone use and income growth in rural China: empirical results and policy implications

Electronic Commerce Research ◽

10.1007/s10660-018-9323-x ◽

2018 ◽

Vol 20 (4) ◽

pp. 713-736 ◽

Cited By ~ 13

Author(s):

Wanglin Ma ◽

R. Quentin Grafton ◽

Alan Renwick

Keyword(s):

Rural China ◽

Policy Implications ◽

Income Growth ◽

Empirical Results ◽

Smartphone Use

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Assessment of product debundling trends in the US airline industry: Customer service and public policy implications

Transportation Research Part A Policy and Practice ◽

10.1016/j.tra.2011.09.009 ◽

2012 ◽

Vol 46 (2) ◽

pp. 255-268 ◽

Cited By ~ 13

Author(s):

Laurie A. Garrow ◽

Susan Hotle ◽

Stacey Mumbower

Keyword(s):

Public Policy ◽

Customer Service ◽

Airline Industry ◽

Policy Implications ◽

The Us

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An analysis of timing decision in venture capital staged financing: evidence from India

Management Research Review ◽

10.1108/mrr-09-2019-0424 ◽

2020 ◽

Vol 43 (12) ◽

Author(s):

Satya Narayan Panda ◽

Arun Kumar Gopalaswamy

Keyword(s):

Venture Capital ◽

Capital Investment ◽

Failure Time ◽

Agency Problems ◽

Policy Implications ◽

Accelerated Failure Time Model ◽

Market Uncertainty ◽

Time Model ◽

Content Type ◽

Staged Financing

Purpose Staged financing is a prominent feature of the venture capital investment process. With staged financing, venture capitalists (VCs) may choose to either make an investment or delay it at each round. The purpose of this paper is to investigate the influence of market uncertainty, project-specific uncertainty and agency problems on these decisions. Design/methodology/approach The study uses data from Indian firms that received venture capital funding between 2000 and 2017. The duration between funding rounds is analysed using survival analysis. An accelerated failure time model is used to estimate the influence of market uncertainty, project-specific uncertainty and agency problems on the length of time between funding rounds. Findings VCs delay investment when there are high levels of uncertainty in the market; if market uncertainty increases by 1%, delay in funding increases by more than 6% (almost a month) on average. There is no statistically significant relationship found between the funding duration and project-specific uncertainty. Agency problems motivate VCs to invest sooner. An increase in agency problems results in a reduction of 55% (almost five months) in the length of time before the next funding round. Practical implications This study has useful business policy implications. It provides VCs with real option value drivers such as market uncertainty, agency problems, which influence the timing of decisions in staged investment processes. It will help to make the choice between investing and delaying at each round of financing more robust. Further, it is useful for VCs to differentiate between market uncertainty and agency problems against the backdrop of their different implications for staging decisions. Originality/value Few studies have examined staging decisions from a real options perspective in the context of a developed economy and very few from a developing economy perspective. This study increases understanding of staging decisions in the Indian context.

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