A multi-disciplinary review of enablers and barriers to Cloud ERP implementation and innovation outcomes

Purpose: Due to the unprecedented disruptions in business operations, many organisations are turning to Cloud ERP implementation to ensure employees can access real-time business information from anywhere, enabling the continuity of business activities. As a result, over the past decades, literature on Cloud ERP implementation has seen significant growth across different subject areas. This paper aims to present a systematic literature review (SLR) that consolidates the literature scattered across various multidisciplinary subject areas, explores recent developments and identifies knowledge gaps for more impactful future research. Design/methodology/approach: An SLR approach has been applied to a sample of 73 articles published until 1 February 2022. Findings: Our SLR identifies and consolidates a set of critical enablers and barriers to the implementation of Cloud ERP. What is particularly interesting is that this study established a link between these enablers and barriers and four key innovation outcomes: product, service, process and business model innovations. A rigorous framework has been devised that demonstrates the nexus between enablers and barriers to Cloud ERP implementation and innovation outcomes in an organisation. In addition, this study has recognised several organisational theories from information systems literature that have the potential for future research in this emerging area. Research limitations/implications: This SLR makes several theoretical contributions to the literature on Cloud ERP implementation and its impact on innovation outcomes. Practical implications: The review consolidates a wide range of literature to provide decision-makers with an integrated understanding of the most influential factors in Cloud ERP implementation. Originality/value: SLR provides a comprehensive analysis of the current state of research on the topic, offering unique perspectives on developments in theory and knowledge gaps, as well as identifying future research opportunities in the area

Threshold crossing of a regulated molecular species.

<p>(A) A target species <i>X</i> is regulated by either an accumulating activator <i>A</i> or a degrading repressor <i>R</i>. (B) Temporal precision is quantified by the variance of the first-passage time, at which the stochastic molecule number <i>x</i> first crosses the threshold <i>x</i>_*. (C, D) Deterministic dynamics illustrate the effects of regulation. Parameters are <i>kt</i>_* = 20 and <i>K</i> = 15 in C; <i>μt</i>_* = 2.75, <i>K</i> = 2.6, and <i>N</i> = 15 in B and D; and <i>x</i>_* = 15 and <i>H</i> = 1 throughout. <i>t</i>₀ is defined by in C and in D.</p

Results are robust to additional complexities including cell division.

<p>(A, B) Green solid curves show slices from <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1006201#pcbi.1006201.g002" target="_blank">Fig 2</a> with <i>K</i> = 10 while black dashed line shows unregulated limit . We see that regulation can reduce timing variance even with bursts in activator production of mean size <i>b</i> (A, cyan and magenta dashed), initial Poisson noise in repressor number (B, green dashed), or steady state <i>k</i>/<i>μ</i> in regulator dynamics (blue) unless it approaches regulation threshold <i>K</i> (red). (C) Mean dynamics of activator model (solid) and repressor model (dashed) in which cell division occurs at time on average. Abrupt reductions in molecule numbers are smoothed by noise in <i>t</i>_<i>d</i> and by binomial partitioning of molecules. (D) Timing variance approaches that with no division (dashed) within experimental division region (gray). In A and B, parameters are as in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1006201#pcbi.1006201.g002" target="_blank">Fig 2</a>. In C and D, parameters are <i>x</i>* = 15, 〈<i>a</i>〉/<i>x</i>_* = 〈<i>r</i>〉/<i>x</i>_* = 10, and <i>H</i> = 3, with <i>kt</i>_*, <i>μt</i>_*, and <i>K</i> set to optimal values (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1006201#pcbi.1006201.g002" target="_blank">Fig 2</a>) and and <i>σ</i>_<i>d</i> set to experimental values. In all cases, <i>α</i> is set to ensure that mean threshold crossing time equals <i>t</i>_*.</p

Model predictions agree with neuroblast migration data.

<p>(A) Number of <i>mig-1</i> mRNA molecules per cell as a function of time <i>t</i>, obtained by single-molecule fluorescent in situ hybridization, from [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1006201#pcbi.1006201.ref005" target="_blank">5</a>]. Magenta shows approximate range of times when cell migration terminates. Black lines show mean (dashed) and standard deviation <i>σ</i>_<i>d</i> of cell division times (black points). (B) Timing variance vs. linearity of <i>x</i>(<i>t</i>), both for experimental data in A (blue circle) and our model (curves, Eqs <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1006201#pcbi.1006201.e049" target="_blank">16</a> and <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1006201#pcbi.1006201.e050" target="_blank">17</a>). Data analyzed using ranges of threshold 10 ≤ <i>x</i>_* ≤ 25 and bin size 3 ≤ Δ<i>x</i> ≤ 12; error bars show standard deviations of these results. We see that for sufficiently large cost 〈<i>a</i>〉/<i>x</i>_* or 〈<i>r</i>〉/<i>x</i>_*, model predictions agree with experimental data point.</p

Optimal regulatory strategies.

<p>Timing variance as a function of the regulatory parameters reveals (A) a trajectory along which the variance decreases in the case of the activator and (B) a global minimum in the case of the repressor. White dashed line in A and white dot in B show the analytic approximations in Eqs <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1006201#pcbi.1006201.e029" target="_blank">9</a> and <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1006201#pcbi.1006201.e031" target="_blank">11</a>, respectively. Parameters are <i>N</i> = 15 in B, and <i>x</i>_* = 15 and <i>H</i> = 3 in both.</p

The effect of corporate ethical responsibility on social and environmental performance: An empirical study

   In the field of business-to-business marketing, corporate ethical identity and corporate brand identity are crucial subjects for discussion. Business organizations function under social norms, and in order to establish an ethical identity, they must show corporate ethical responsibility, embrace ethical standards, and maintain open communication with suppliers. While an organization’s reputation is impacted by the absence of an ethical identity, its financial success is unaffected. Extant literature has not thrown a spotlight on social and environmental performance which indicates that less focus has been given by academics than by practitioners. To fill the lacuna in the existing literature, this study examines the relationships between corporate ethical identity, corporate brand identity, social and environmental performance. The study uses a deductive research approach and develops hypotheses which are further tested using variance based structural equation modeling. The study offers a distinctive contribution to ethics theory and stakeholder theory by showing that developing an ethical identity requires more than just adhering to moral guidelines and upholding open communication. Companies must show that they are ethically responsible towards society. The study provides evidence of the influence corporate brand identity has on environmental and social performance. The findings can be useful in developing business-to-business marketing strategies.</p

Additional file 1 of Appraising LaQshya’s potential in measuring quality of care for mothers and newborns: a comprehensive review of India’s Labor Room Quality Improvement Initiative

Supplementary Material

Regression model of health worker performance during intrapartum care simulation (normal, term delivery).

<p>Regression model of health worker performance during intrapartum care simulation (normal, term delivery).</p

Health facility service availability and readiness for intrapartum and immediate postpartum care in Malawi: A cross-sectional survey

<div><p>This analysis seeks to identify strengths and gaps in the existing facility capacity for intrapartum and immediate postpartum fetal and neonatal care, using data collected as a part of Malawi’s Helping Babies Breath program evaluation. From August to September 2012, the Maternal and Child Health Integrated Program (MCHIP) conducted a cross-sectional survey in 84 Malawian health facilities to capture current health facility service availability and readiness and health worker capacity and practice pertaining to labor, delivery, and immediate postpartum care. The survey collected data on availability of equipment, supplies, and medications, and health worker knowledge and performance scores on intrapartum care simulation and actual management of real clients at a subset of facilities. We ran linear regression models to identify predictors of high simulation performance of routine delivery care and management of asphyxiated newborns across all facilities surveyed. Key supplies for infection prevention and thermal care of the newborn were found to be missing in many of the surveyed facilities. At the health center level, 75% had no clinician trained in basic emergency obstetric care or newborn care and 39% had no midwife trained in the same. We observed that there were no proportional increases in available transport and staff at a facility as catchment population increased. In simulations of management of newborns with breathing problems, health workers were able to complete a median of 10 out of 16 tasks for a full-term birth case scenario and 20 out of 30 tasks for a preterm birth case scenario. Health workers who had more years of experience appeared to perform worse. Our study provides a benchmark and highlights gaps for future evaluations and studies as Malawi continues to make strides in improving facility-based care. Further progress in reducing the burden of neonatal and fetal death in Malawi will be partly predicated on guaranteeing properly equipped and staffed facilities in addition to ensuring the presence of skilled health workers.</p></div

Medications in delivery area, in 24 hospitals and 60 health centers.

<p>Medications in delivery area, in 24 hospitals and 60 health centers.</p