scholarly journals Measuring business process performance in the seed industry

2020 ◽  
pp. 37-48
Author(s):  
Goran Petrović
Keyword(s):  
Performance Management ◽  
Business Process ◽  
Business Processes ◽  
Business Success ◽  
Process Performance ◽  
Seed Industry ◽  
Success Indicators ◽  
Business Process Performance

The literature that generally deals with business processes is extensive, but, at the same time, there is a noticeable lack of it in some specific areas, such as the seed industry. The paper presents the relations between the main participants in the process of creating new values and gives examples of business success indicators in the organization operating in the seed industry. The presented results are based on the author's research through questionnaires and interviews with employees in this field, while the aim of the research was to review business processes in the seed industry, identify the key ones, and determine the models for their performance management.

scholarly journals THE MANAGEMENT SYSTEM OF BUSINESS PROCESS EFFICIENCY

2017 ◽  
pp. 66-74 ◽  
Author(s):  
Alina Igorevna Lykova
Keyword(s):  
Performance Management ◽  
Business Process ◽  
Balanced Scorecard ◽  
Performance Indicators ◽  
Business Process Management ◽  
Process Management ◽  
Business Processes ◽  
Key Performance Indicators ◽  
Process Efficiency ◽  
Process Performance

Business process management and performance management merge with each other as business process management evolves. Efficiency is a characteristic of the system in terms of the ratio of costs and results of its functioning, ability to lead to given results. Efficiency in the concept of process management is the measurement of predefined operational characteristics of the process: qualitative and / or quantitative indicators that characterize the process. The main indicators of process efficiency are the process efficiency indices. In addition, in the theory of performance management key performance indicators are emitted. Although they have much in common (relatively constant, measurable, assess progress, etc.), the main difference between these indicators is that process performance indicators measure operational efficiency, while key performance indicators represent the business objectives that the company wants to achieve at a strategic level. There are different types of the process performance indicators: productivity and effectiveness, temporary, costly, high-quality; early and late. Process performance indicators are assigned to each process to monitor its effectiveness and to correlate the achievement of the process goal and the costs to achieve this goal. The establishment of key performance indicators depends on the organization's strategy and is implemented using methodologies developed and tested in practice, the most popular of which is the Balanced Scorecard. With the purpose of forming a control loop for the efficiency of business processes, the principles of managing the efficiency of processes are singled out: the level of development of performance management directly depends on the level of process maturity of the organization; when analyzing the process, performance indicators are primary, and then productivity; understanding customer motivation when evaluating the process; evolutionary measurement of effectiveness. The performance management framework of business processes consists of planning, execution (which also consists of performance monitoring processes for each selected process), verification and updating.

Business Process/Performance Management

Controlling ◽  
2009 ◽  
Vol 21 (3) ◽  
pp. 145-152 ◽  
Author(s):  
August-Wilhelm Scheer ◽  
Helge Heß
Keyword(s):  
Performance Management ◽  
Business Process ◽  
Process Performance ◽  
Business Process Performance

A theory of contingent business process management

2019 ◽  
Vol 25 (6) ◽  
pp. 1291-1316 ◽  
Author(s):  
Sarah Zelt ◽  
Jan Recker ◽  
Theresa Schmiedel ◽  
Jan vom Brocke
Keyword(s):  
Information Processing ◽  
Business Process ◽  
Business Process Management ◽  
Process Management ◽  
Business Processes ◽  
Empirical Studies ◽  
Theory Development ◽  
Process Performance ◽  
Research Strategies ◽  
Content Type

Purpose Many researchers and practitioners suggest a contingent instead of a “one size fits all” approach in business process management (BPM). The purpose of this paper is to offer a contingency theory of BPM, which proposes contingency factors relevant to the successful management of business processes and that explains how and why these contingencies impact the relationships between process management and performance. Design/methodology/approach The authors develop the theory by drawing on organizational information processing theory (OIPT) and applying an information processing (IP) perspective to the process level. Findings The premise of the model is that the process management mechanisms such as documentation, standardization or monitoring must compensate for the uncertainty and equivocality of the nature of the process that has to be managed. In turn, managing through successful adaptation is a prerequisite for process performance. Research limitations/implications The theory provides a set of testable propositions that specify the relationship between process management mechanisms and process performance. The authors also discuss implications of the new theory for further theorizing and outline empirical research strategies that can be followed to enact, evaluate and extend the theory. Practical implications The theory developed in this paper allows an alternative way to describe organizational processes and supports the derivation of context-sensitive management approaches for process documentation, standardization, monitoring, execution and coordination. Originality/value The theoretical model is novel in that it provides a contextualized view on BPM that acknowledges different types of processes and suggests different mechanisms for managing these. The authors hope the paper serves as inspiration both for further theory development as well as to empirical studies that test, refute, support or otherwise augment the arguments.

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