scholarly journals Standard Bank: The Agile Transformation

10.28945/3911 ◽  
2017 ◽  
Vol 2 ◽  
pp. 001-031

Josef Langerman, Head of IT Transformation for Standard Bank, reflected on the extraordinary transformation that his organization’s IT group had recently experienced. Over the past three years, Standard Bank’s IT group had changed from the relatively well accepted systems development lifecycle/waterfall model to a revolutionary large scale agile approach. The results had been gratifying. But it left a question unanswered. Now that things were starting to stabilize, what should be the next steps? The 154-year-old Standard Bank was the largest banking group in Africa, and the 5th largest company headquartered in South Africa. The bank offered a range of corporate, business and personal banking as well as financial services. Its 49,000 employees served over 15 million customers, in 20 countries across the continent of Africa, as well as other countries scattered around the globe. Standard Bank’s IT group, located within the company’s Johannesburg headquarters, had over 6000 employees. The group managed the bank’s technology infrastructure–including a network of nearly 10,000 ATMs, its applications development, testing, deployment, maintenance and operations. By 2014, the bank recognized that its IT performance was lagging industry benchmarks in productivity, turnaround time and employee satisfaction. Employing a “do it in-house” philosophy, it embarked on a major transformation. Abandoning traditional highly structured approaches to project management and development, it had adopted an agile philosophy that was most commonly seen in much smaller organizations and technology startups. The results had been impressive–productivity, cycle time and organizational health indicators had all risen dramatically. The group had also achieved substantial reductions in its budget. Even skeptics within the organization could not fail to be impressed. Now, however, Langerman wondered about the future. He had been cautioned by his group’s HR Culture Transformation Guide that rapid improvement could easily be followed by disillusionment. What could be done to keep the momentum going forward? Should the bank double down on the types of changes to culture, practice and training that had led to its success, or was it time to let things settle? And who should be guiding the change? Should the implementation continue entirely in-house, or should outside consultants–that were working in other areas of the bank–play a significant role? In the near future, he would need to present his recommendations to the group’s CIO.

10.28945/3923 ◽  
2017 ◽  
Vol 6 ◽  
pp. 07
Author(s):  
Kevin A. Johnston ◽  
Grandon Gill

South Africa’s largest bank has recently completed a transformation from traditional systems development to the scaled agile framework. The individual leading the transformation is now considering how to keep the momentum going and possible new directions. Josef Langerman, Head of IT Transformation for Standard Bank, reflected on the extraordinary transformation that his organization’s IT group had recently experienced. Over the past three years, Standard Bank’s IT group had changed from the relatively well accepted systems development lifecycle/waterfall model to a revolutionary large scale agile approach. The results had been gratifying. But it left a question unanswered. Now that things were starting to stabilize, what should be the next steps? The 154-year-old Standard Bank was the largest banking group in Africa, and the 5th largest company headquartered in South Africa. The bank offered a range of corporate, business and personal banking as well as financial services. Its 49,000 employees served over 15 million customers, in 20 countries across the continent of Africa, as well as other countries scattered around the globe. Standard Bank’s IT group, located within the company’s Johannesburg headquarters, had over 6000 employees. The group managed the bank’s technology infrastructure–including a network of nearly 10,000 ATMs, its applications development, testing, deployment, maintenance and operations. By 2014, the bank recognized that its IT performance was lagging industry benchmarks in productivity, turnaround time and employee satisfaction. Employing a “do it in-house” philosophy, it embarked on a major transformation. Abandoning traditional highly structured approaches to project management and development, it had adopted an agile philosophy that was most commonly seen in much smaller organizations and technology startups. The results had been impressive–productivity, cycle time and organizational health indicators had all risen dramatically. The group had also achieved substantial reductions in its budget. Even skeptics within the organization could not fail to be impressed. Now, however, Langerman wondered about the future. He had been cautioned by his group’s HR Culture Transformation Guide that rapid improvement could easily be followed by disillusionment. What could be done to keep the momentum going forward? Should the bank double down on the types of changes to culture, practice and training that had led to its success, or was it time to let things settle? And who should be guiding the change? Should the implementation continue entirely in-house, or should outside consultants–that were working in other areas of the bank–play a significant role? In the near future, he would need to present his recommendations to the group’s CIO.


2018 ◽  
Author(s):  
Jon Jachimowicz ◽  
Christopher To ◽  
Oliver P Hauser

Pay dispersion is a core organizational attribute, but its’ relationship to employee turnover is relatively unclear. We propose this is the case because prior research suffers from two limitations: (1) it neglects how pay dispersion impacts employees’ psychological attitudes toward their job, and (2) it assumes that teams are homogenous, disregarding that variations in team characteristics shape how employees experience pay dispersion. The current research addresses these shortcomings by drawing on job demand-control theories to investigate how pay dispersion shapes employees’ job attitudes, and explicitly incorporates one aspect of team heterogeneity, team size variations. More specifically, our core proposition is that team pay inequality, i.e., the pay dispersion of employees within a team, reduces employees’ job control—their perceived capability to control work—particularly when teams are larger. This, in turn, makes it more likely employees in large unequal teams leave their organization. Two unique large-scale archival and survey datasets from a technology (N = 881) and financial services company (N = 22,816) provide support for our hypotheses. The current research thus offers a novel perspective on pay dispersion: salary differences within teams fundamentally shape employees’ job attitudes—particularly their job control—and thus determine important organizational outcomes.


2013 ◽  
Vol 3 (2) ◽  
pp. 222-229 ◽  
Author(s):  
Clarissa Brocklehurst ◽  
Murtaza Malik ◽  
Kiwe Sebunya ◽  
Peter Salama

A devastating cholera epidemic swept Zimbabwe in 2008, causing over 90,000 cases, and leaving more than 4,000 dead. The epidemic raged predominantly in urban areas, and the cause could be traced to the slow deterioration of Zimbabwe's water and sewerage utilities during the economic and political crisis that had gripped the country since the late 1990s. Rapid improvement was needed if the country was to avoid another cholera outbreak. In this context, donors, development agencies and government departments joined forces to work in a unique partnership, and to implement a programme of swift improvements that went beyond emergency humanitarian aid but did not require the time or massive investment associated with full-scale urban rehabilitation. The interventions ranged from supply of water treatment chemicals and sewer rods to advocacy and policy advice. The authors analyse the factors that made the programme effective and the challenges that partners faced. The case of Zimbabwe offers valuable lessons for other countries transitioning from emergency to development, and particularly those that need to take rapid action to upgrade failing urban systems. It illustrates that there is a ‘middle path’ between short-term humanitarian aid delivered in urban areas and large-scale urban rehabilitation, which can provide timely and highly effective results.


1983 ◽  
Vol 38 ◽  
pp. 1-9
Author(s):  
Herbert F. Weisberg

We are now entering a new era of computing in political science. The first era was marked by punched-card technology. Initially, the most sophisticated analyses possible were frequency counts and tables produced on a counter-sorter, a machine that specialized in chewing up data cards. By the early 1960s, batch processing on large mainframe computers became the predominant mode of data analysis, with turnaround time of up to a week. By the late 1960s, turnaround time was cut down to a matter of a few minutes and OSIRIS and then SPSS (and more recently SAS) were developed as general-purpose data analysis packages for the social sciences. Even today, use of these packages in batch mode remains one of the most efficient means of processing large-scale data analysis.


2021 ◽  
Author(s):  
Marina Christofoletti ◽  
Tânia R. B. Benedetti ◽  
Felipe Goedert Mendes ◽  
Humberto M. Carvalho

Background: Large-scale health surveys often consider sociodemographic characteristics and several health indicators influencing physical activity that often vary across units (regions or states). Data in a survey for some small units are often not representative of the larger population. This study developed a relatively simple multilevel regression and poststratification (MRP) model to estimate the proportion of leisure-time physical activity across Brazilian state capitals, based on the Brazilian cross-sectional national survey VIGITEL (2018). Methods: We used various approaches to evaluate whether the MRP approach outperforms single-level aggregated estimates, with various subsample proportions tested. Results: The mean absolute errors were consistently smaller for the MRP estimates than single-level regression estimates, particularly with smaller sample sizes. MRP consistently had predictions closer to the estimation target than single-level aggregated estimations. MRP presented substantially smaller uncertainty estimates compared to aggregated estimates. Conclusions: Our results confirm that MRP is a promising strategy to derive disaggregated data for health-related outcomes and, in particular, physical activity indicators from aggregated-level surveys. Overall, the MRP is superior to single-level aggregated estimates and disaggregation, yielding smaller errors and more accurate estimates. MRP significantly expands the scope of issues for which researchers can better address participation bias and interpret interactions to estimate descriptive population quantities. The observations present in this study highlight the need for further research, potentially incorporating more information in the models to better interpret interactions and types of activities across target populations.


2020 ◽  
Vol 7 ◽  
Author(s):  
Angela Costa ◽  
Massimo De Marchi ◽  
Giulio Visentin ◽  
Maria Concetta Campagna ◽  
Antonio Borghese ◽  
...  

Water buffaloes (Bubalus bubalis) are very sensitive to environmental stimulus before and during milking, and this explains why disrupted milk ejections due to blood oxytocin level instability are frequent in this species. According to the literature, the manual stimulation (MS) of teats before milking promotes oxytocin release and allows milk ejection to start within 2–3 min. However, the pre-milking stimulation of teats is not always part of the milking routine in Italian buffalo farms; moreover, buffaloes with unstable milk let-down are sometimes treated with exogenous oxytocin (OX). Different types of pre-milking stimulation can impact differently on the mammary gland epithelium and structures and, therefore, on milk yield. In this study, we observed the changes in teat morphological traits before and after the application of three types of stimuli, i.e., no manual stimulation (NS), MS, and OX, in buffaloes reared in an Italian dairy farm. In particular, measurements were available for 23 and 21 buffaloes for front and rear teats, respectively. Subsequently, the effect of the pre-milking stimulation type was estimated on teat morphological characteristics and on milk traits recorded after the application of stimuli. The results showed that the teat canal length was shorter (P < 0.05) after stimulation in the case of MS and OX compared to NS. Cistern diameter was overall greater for MS and lower for OX. On the contrary, teat wall thickness was greater and lower for OX and MS, respectively. Milk yield and quality (fat, protein, and somatic cell score) were similar across the three types of pre-milking stimulation. In perspective, the impact of these types of pre-milking stimulation should be evaluated on a large scale, and the focus might be put on mammary gland epithelium integrity, mastitis incidence, and other udder health indicators in milk, e.g., electrical conductivity, differential somatic cell count, lactose content, and sodium and chloride concentration.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
M.N.N. Rodrigo ◽  
Srinath Perera ◽  
Sepani Senaratne ◽  
Xiaohua Jin

PurposeBlockchain as an emerging technology has increased the interests within various industries because of its salient features. A potential application of blockchain for embodied carbon (EC) estimating is being explored. Though there are several databases/tools to estimate EC, the accuracy of estimates prepared using them is affected due to several limitations. As a solution, a prototype blockchain-based EC (BEC) Estimator for distributed supply chain-based EC estimating has been introduced. The data models and user flow diagram that lead to development of a BEC Estimator are developed and evaluated in this study.Design/methodology/approachA case study approach assisted in developing the data models and user flow diagram for the BEC Estimator. A Delphi-based expert forum was used to evaluate and produce the refined data models and user flow diagram.FindingsThe BEC Estimator adopts a waterfall model, a system development lifecycle model, in developing the application. The phases, system analysis and system design, consisting the development of the data models and user flow diagram for the BEC Estimator are discussed.Originality/valueEstimating EC accurately plays an important role in construction. The BEC Estimator uses the supply chain based embodied carbon estimating method to estimate EC accurately. This paper demonstrates the data models and user flow diagram developed for the BEC Estimator.


Author(s):  
Kalle Hirvonen ◽  
John Hoddinott

Abstract Economists often default to the assumption that cash is always preferable to an in-kind transfer. Do beneficiaries feel the same way? This paper addresses this issue using longitudinal household data from Ethiopia, where a large-scale social safety net intervention (PSNP) operates. Even though most payments are made in cash, and even though the (temporal) transaction costs associated with food payments are higher than payments received as cash, most beneficiaries stated that they prefer their payments only or partly in food. Higher food prices induce shifts in stated preferences toward in-kind transfers. More food-secure households, those closer to food markets and to financial services are more likely to prefer cash. Though shifts occur, the stated preference for food is dominant: In no year do more than 17 percent of households prefer only cash. There is suggestive evidence that stated preferences for food are also driven by self-control concerns.


2020 ◽  
Vol 28 (3) ◽  
pp. 36-57
Author(s):  
Newman O. Omigie ◽  
Hangjung Zo ◽  
Andrew P. Ciganek ◽  
Suprasith Jarupathirun

This study develops an integrated model that extends the means-end theory with customer value research and examines continuance intention towards using mobile financial services. A large-scale online questionnaire targeting M-PESA customers in Kenya was employed to analyze the research model. The results indicate that utilitarian and hedonic values affect continuance intention. Hedonic and personal values impact customer satisfaction, while customer satisfaction influences continuance intention. Customer satisfaction mediates the indirect effects of hedonic and personal values on continuance intention. This study presents a value-based framework to examine the hierarchical influences of customer value on attitudes and outcome behaviors. This study offers several research contributions as well as insights for practitioners to enhance mobile financial services for sustained adoption, use, economic and developmental success.


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